Create a plot with many lines and points by loops

[Miao]

Hi, 

   I would like to create a plot with 40 lines and 40 sets of points. The sizes of the datasets are unequal. I wonder how I could do it in ggplot2. This is a toy example I try, but I just see 2 lines and the corresponding point sets in the first graph "p_test" and see 1 lines and  the corresponding point sets in the first graph "p_test2". How could it be modified in order to see all the three lines and the corresponding point sets ? Thanks,

Miao

rm(list=ls())

library(ggplot2)

 

 

x1<-1:4

y1<-6:9

x2<-seq(1.5, 4.5, 1)

y2<-seq(5.5, 8.5, 1)

x3<-seq(4,10,2)

y3<-seq(5,-1,-2)

 

dft<-data.frame(x1,y1,x2,y2,x3,y3)

p_test<-ggplot(dft, aes(dft[,1], dft[,2]))+ geom_point()+

  geom_line(data=dft, aes(dft[,1], dft[,2]))

for(i1 in 2:3)

{

  p_test<-p_test+geom_point(data = dft, aes(dft[,i1*2-1],dft[,i1*2]))+

    geom_line(data=dft, aes(dft[,i1*2-1],dft[,i1*2]))

}

 

p_test2<-ggplot(NULL)+geom_point()

for(i2 in 1:3)

{

  p_test2<-p_test2+geom_point(data =dft, aes(dft[,i1*2-1],dft[,i1*2]))+

    geom_line(data=dft, aes(dft[,i1*2-1],dft[,i1*2]))

}

[Dennis Murphy]

This is my understanding of what you want, but it's rarely obvious
when you try to communicate in code rather than words. If I grasped
your intent correctly, the first step is to reshape the data so that
it has two variables x and y and an indicator (call time here) to
distinguish x1, x2 and x3, and ditto for y.

dft <- data.frame(x1 = seq(4), y1 = 6:9,
x2 = seq(1.5, 4.5),
y2 = seq(5.5, 8.5),
x3 = seq(4, 10, 2),
y3 = seq(5, -1, -2))

# When you have multiple variables to stack, it's usually
# a bit more convenient to use the reshape() function rather
# than the reshape2 package because the latter has no
# equivalent that I know of for the varying = argument in
# reshape():

dfm <- reshape(dft, v.names = c("x", "y"),
varying = list(c("x1", "x2", "x3"),
c("y1", "y2", "y3")),
direction = "long")

# We now use the generated time variable, converted into
# a factor, to separate out the newly created groups:
ggplot(dfm, aes(x = x, y = y, color = factor(time))) +
geom_point(size = 2.5) +
geom_line(size = 1) +
labs(color = "Set")

Change the content of labs() to the actual name you want.

If you want to do this for 40 separate data sets, put them into a
list, wrap the above into a function to create a single plot (which
you probably want to save to a file before you exit the function) and
then use a function like lapply() from base R or l_ply() in plyr to
perform the iteration over the list of data sets. This assumes you
want to perform the same set of tasks on your collection of data
frames.

Dennis

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[Miao]

Hi, 

   Thank you very much for the response.  To clarify my problem better, I hereby present my data and my codes. Both dfta and dftb are dataframes with 40 columns. Now I want to construct a graph with 40 lines (columns from dftb) and 40 lines (columns from dfta). I draw two of them here, and could someone help me stack/combine the data and draw all 40 of them? 

   Thanks!

 (Sorry that I underestimate the difference between the toy problem I presented in the first message and the true problem.)

#   Data:

#  dfta is 16 observation of 40 variable.

#   dftb is a 151x40 double matrix, which is bigger and I have trouble "dput"ting it. I copy the matrix and paste it here.

 

# code

dfta1<-data.frame(x=seq(10,160,10),y=dfta[,1])

dftb1<-data.frame(x=10:160, y=dftb[,1])

dfta2<-data.frame(x=seq(10,160,10),y=dfta[,2])

dftb2<-data.frame(x=10:160, y=dftb[,2])

ggplot(dfta1, aes(x = x, y = y)) +

  geom_point(size = 2.5, shape=0, color='blue') +

  geom_line(data=dftb1, aes(x=x,y=y),size=1,color='blue')+

  geom_point(data=dfta2, aes(x=x,y=y),size=2.5,shape=1,color='red')+

  geom_line(data=dftb2, aes(x=x,y=y),size=1,color='red')

> dput(dfta)

structure(list(`809` = c(NA, NA, NA, 0.112572665562302, 0.131331409825713, 

0.152336545482409, 0.175735048738864, 0.201667062821815, 0.23026290653737, 

0.261640001186152, 0.295899829897659, 0.33312504797485, 0.373376860132049, 

0.416692770928698, 0.463084799112432, 0.512538226251139), `810` = c(NA, 

NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 1.11165674799572, 

1.18500213461987, 1.25960257854264, 1.33522242810375), `16` = c(0.567675970858439, 

0.623077796656683, 0.681320847297496, 0.742283384556823, 0.80581961299754, 

0.871761745685024, 0.939922451618907, 1.01009760085666, 1.08206921942717, 

1.1556085662976, 1.23047924835526, 1.30644029596115, 1.38324913042287, 

1.4606643650121, 1.53844839224458, 1.6163697214475), `825` = c(0.628451931146918, 

0.686708813385819, 0.747665169234362, 0.811175867548966, 0.87707402295182, 

NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), `815` = c(0.666293479226814, 

0.726532829786507, 0.789383882759193, 0.854684741264176, 0.922253309532494, 

0.991889959127487, 1.06338042854194, 1.13649886832278, 1.21101094663556, 

1.28667693601212, 1.36325471024111, 1.44050259025432, 1.51818198874907, 

1.59605981454788, 1.67391060879767, 1.75151839562012), `108` = c(0.675340342809521, 

0.735984598885387, 0.799217077411769, 0.864872679928992, 0.932766498201501, 

1.00269652075231, 1.07444655940391, 1.14778930820143, 1.22248945035738, 

1.29830673509013, 1.37499895473931, 1.45232476262221, 1.53004628307342, 

1.60793147637377, 1.68575623230845, 1.76330617647984), `806` = c(0.745909227671598, 

0.809503839690724, 0.875492849601991, 0.943688835232176, 1.01388771391382, 

1.08587168811243, 1.15941231080448, 1.23427358718963, 1.31021503589333, 

1.38699464156092, 1.46437164095882, 1.5421090957177, 1.61997621608133, 

1.69775041095999, 1.77521904982847, 1.85218093126097), `118` = c(0.766239575745408, 

0.830618357978435, 0.897332702194756, 0.966189597826655, 1.03698030545184, 

1.10948334836778, 1.1834675966895, 1.25869536243549, 1.33492543139969, 

1.41191596688598, 1.48942723091169, 1.56722407962312, 1.6450782008415, 

1.72277007240208, 1.80009062989467, 1.87684264129992), `814` = c(0.857704054809829, 

0.925270437651967, 0.99489555461886, 1.06636560829763, 1.13945529026246, 

1.21393087072437, 1.28955326954395, 1.36608103804589, 1.44327319086736, 

1.52089183785902, 1.59870457722412, 1.67648662209634, 1.75402264319323, 

1.83110831971256, 1.90755159904093, 1.98317367298581), `805` = c(1.00953641905394, 

1.08126900215156, 1.15457503098622, 1.22922026902959, 1.30496567227866, 

1.3815703358086, 1.45879428236285, 1.53640104508987, 1.61416000762214, 

1.69184847555937, 1.7692534636553, 1.8461731923086, 1.92241829511477, 

1.99781274613189, 2.07219452110671, 2.14541601122415), `81` = c(NA, 

NA, NA, NA, NA, 1.39646494936381, NA, NA, 1.62755847566301, 1.70472839176944, 

1.78161159324356, 1.85800978574112, 1.93373672009783, 2.00861911909169, 

2.08249734565489, 2.15522582968104), `102` = c(1.03975863236408, 

1.11216682670985, 1.18605029206506, 1.26117256546567, 1.33729362307747, 

1.41417276461441, 1.4915713188288, 1.56925512682832, 1.64699677100717, 

1.72457752801126, 1.80178903402377, 1.87843465949172, 1.95433059804869, 

2.02930668073896, 2.10320693170247, 2.17588988528333), `147` = c(1.10997444355526, 

1.18376937793254, 1.25881156356772, 1.33486144011919, 1.41167863727637, 

1.48902468368002, 1.56666549637636, 1.64437361809938, 1.72193018029801, 

1.79912657970313, 1.87576586509516, 1.95166383861082, 2.02664988233043, 

2.1005675259989, 2.17327477559483, 2.24464422516043), `53` = c(1.1404374588204, 

1.2147045640515, NA, 1.36645010513582, 1.44344952392844, 1.52088374858025, 

1.59852154514984, 1.67613907261846, 1.75352173102394, 1.83046572218274, 

1.90677932266915, 1.98228387589011, 2.05681451598417, 2.13022064088878, 

2.20236615532273, 2.27312950671496), `103` = c(1.23136523321562, 

1.30698911345655, 1.38347101572207, 1.46057210042168, 1.53805693953761, 

1.61569584803093, 1.69326695030742, 1.7705579656683, 1.8473677059133, 

1.92350728639172, 1.99880105868876, 2.07308727874406, 2.14621852854702, 

2.2180619127054, 2.28849905324542, 2.35742590709704), `803` = c(1.28199848580656, 

1.35818515160883, 1.43507098614928, 1.51241943014362, 1.58999888298307, 

1.66758485896064, 1.74496186772713, 1.82192500903865, 1.89828128036827, 

1.97385060326708, 2.04846658040454, 2.12197699999167, 2.19424410784509, 

2.26514466977742, 2.33456984841829, 2.402424919116), `50` = c(1.35720280819965, 

1.43402059166069, 1.51130689349373, 1.58883038896341, 1.66636677130571, 

1.74370063772892, 1.82062709114173, 1.89695305579418, 1.97249831235488, 

2.04709626402649, 2.12059445011655, 2.19285482707998, 2.26375383952177, 

2.33318230511179, 2.40104513794981, 2.46726093476964), `807` = c(1.36367275542356, 

1.44053374516393, 1.51784374360085, 1.59537197101214, 1.672894829465, 

1.75019776524299, 1.82707684665453, 1.90334005605049, 1.97880830211235, 

2.05331616444542, 2.12671238722355, 2.19886014213443, 2.26963708325983, 

2.33893521791142, 2.40666061796478, 2.47273299603102), `52` = c(1.36566355811515, 

1.44253749557162, 1.51985444993869, 1.59738381204719, 1.67490220449967, 

1.75219533683763, 1.82905957599537, 1.90530323106395, 1.9807475585901, 

2.05522750057611, 2.12859217202644, 2.20070511836051, 2.27144436536912, 

2.34070228575552, 2.40838530680379, 2.47441348349821), `101` = c(1.56486846917748, 

1.6422484239225, 1.71950239502334, 1.79642271889787, 1.87281297488984, 

1.94848912072867, 2.02328035704992, 2.09702973526233, 2.16959452709994, 

2.24084637710315, 2.31067126113276, 2.37896927496271, 2.44565427715265, 

2.51065340991043, 2.57390652064959, 2.63536550555305), `808` = c(1.63169262386718, 

1.70891093639315, 1.78582769516766, 1.86224505779817, 1.93797734859361, 

2.01285196555709, 2.08671002911028, 2.15940679013438, 2.23081181800494, 

2.30080899133122, 2.36929631520725, 2.43618558907235, 2.50140194890114, 

2.56488330653001, 2.62657970760519, 2.68645262802072), `816` = c(1.73223370213687, 

NA, 1.8848684480752, 1.96019075101955, 2.03462081092957, 2.10800393647834, 

2.18019948206196, 2.25108099654188, 2.32053618141868, 2.38846668192889, 

2.45478773474172, 2.51942769548133, 2.58232746834153, 2.64343985871597, 

2.70272886814758, 2.76016894910422), `15` = c(1.89672142528979, 

1.97181776099057, 2.04600476669695, 2.11912992506569, 2.19105471151505, 

2.26165472386787, 2.33081962486964, 2.39845292088842, 2.46447160023969, 

2.52880565409513, 2.59139750195621, 2.65220134232202, 2.71118244756308, 

2.76831642022531, 2.82358842611092, 2.87699241758464), `812` = c(2.14107967485835, 

2.21232415923493, 2.28223683704122, 2.35071081170154, 2.41765273853226, 

2.48298246383936, 2.54663255058884, 2.60854771190891, 2.66868417238768, 

2.72700897557639, 2.7834992543871, 2.83814147926384, 2.89093069717289, 

2.94186977265407, 2.99096864044062, 3.0382435775219), `4` = c(2.15909247504231, 

2.22998724123595, 2.29952458257628, 2.36760095723149, 2.43412627968595, 

2.49902353271453, 2.56222827111654, 2.62368803814449, 2.68336171420586, 

2.74121881582321, 2.79723876109631, 2.85141011609531, 2.90372983478896, 

2.95420250332556, 3.00283959777524, 3.04965876283927), `822` = c(2.22958035887368, 

2.29902450388888, 2.36701839530771, 2.43347150102049, 2.49830630276882, 

2.5614578135938, 2.62287300670352, 2.68251017527707, 2.74033824117516, 

2.79633602882308, 2.85049151874664, 2.90280109343772, 2.95326878645559, 

3.00190554397043, 3.04872850635744, 3.09376031597223), `12` = c(2.28178521063103, 

2.35007267870908, 2.4168487884664, 2.48203248077825, 2.54555531868582, 

2.60736094648042, 2.66740447401276, 2.72565180457083, 2.78207892302818, 

2.83667115921877, 2.88942243970913, 2.94033453936992, 2.98941634243797, 

3.03668312113995, 3.08215583844215, 3.12586048011248), `5` = c(2.42775464137881, 

2.49245290884308, 2.55550355442715, 2.61685095385246, 2.67645077362708, 

2.73426931643118, 2.79028282627414, 2.84447676815462, 2.89684509523024, 

2.94738951478703, 2.99611876263173, 3.04304789394653, 3.08819759716835, 

3.13159353609938, 3.17326572423113, 3.21324793417431), `13` = c(2.48678795982523, 

2.54989266760732, 2.61130906977681, 2.67099127536007, 2.7289040671539, 

2.78502222035103, 2.83932979303646, 2.89181940176723, 2.94249149375122, 

2.99135362548381, 3.03841975611941, 3.08370956237245, 3.1272477803773, 

3.16906357869857, 3.20918996557723, 3.24766323252401), `18` = c(2.69703050617507, 

2.75384222466788, 2.80888730148263, 2.86215121751736, 2.91362770327798, 

2.96331803929865, 3.01123036219122, 3.05737898432546, 3.10178373373179, 

3.14446931951507, 3.1854647268824, 3.22480264482524, 3.26251892855786, 

3.2986520979969, 3.33324287286637, 3.36633374442081), `9` = c(2.75988236718592, 

2.81463598498166, 2.86761941153376, 2.91882636810533, 2.96825806310263, 

3.01592250711714, 3.0618338408653, 3.1060116826135, 3.14848050038816, 

3.18926901309754, 3.22840962363827, 3.26593788612743, 3.30189200858806, 

3.33631239171742, 3.36924120377682, 3.40072199115091), `6` = c(2.85250411395817, 

2.90408522715837, 2.95390727745474, 3.00197506506433, 3.04829974813532, 

3.09289819307126, 3.13579234618966, 3.17700863139408, 3.21657737744661, 

3.25453227745193, 3.29090988230513, 3.32574912911018, 3.35909090493898, 

3.39097764576556, 3.42145296996811, 3.45056134543479), `8` = c(2.87896273389716, 

2.92960789203879, 2.97850071286254, 3.02564891811709, 3.07106626628979, 

3.11477191567995, 3.15678981073576, 3.19714809583155, 3.23587855962719, 

3.27301611223272, 3.30859829659638, 3.34266483484073, 3.37525720968226, 

3.40641828057796, 3.43619193384023, 3.46462276563899), `7` = c(2.98855684956423, 

3.03518928155301, 3.08011384356079, 3.1233491494778, 3.16491854074054, 

3.20484951288153, 3.24317317118205, 3.27992371774325, 3.31513797149505, 

3.34885492197198, 3.38111531709686, 3.41196128471975, 3.44143598725353, 

3.46958330842039, 3.49644757086742, 3.52207328321604), `48` = c(3.01950984870611, 

3.06497018115536, 3.10874001662876, 3.15084068080189, 3.19129786632429, 

3.23014107999522, 3.26740312009333, 3.30311958571735, 3.33732841926419, 

3.37006948254291, 3.40138416649194, 3.43131503402554, 3.45990549517653, 

3.4871995134167, 3.51324134181664, 3.53807528754492), `54` = c(3.23839698565279, 

3.27510109173685, 3.31029750488445, 3.34402183258693, 3.3763116926947, 

3.40720632925405, 3.43674625933953, 3.46497295037204, 3.49192852709711, 

3.51765550714848, 3.54219656393059, 3.56559431541328, 3.58789113733627, 

3.60912899926305, 3.6293493218975, 3.64859285407768), `11` = c(3.3363403469252, 

3.36886911731451, 3.40000595888265, 3.42978991185522, 3.45826112394166, 

3.4854605484388, 3.51142967054933, 3.53621026083859, 3.55984415458212, 

3.58237305563231, 3.60383836334932, 3.62428102109294, 3.64374138475331, 

3.66225910980355, 3.67987305538248, 3.69662120395654), `21` = c(NA, 

NA, 3.47634653833554, 3.50262953680172, 3.52772412571209, 3.55167067090357, 

3.57450958833452, 3.59628115761842, 3.61702535732731, 3.63678172068107, 

3.65558921021361, 3.67348611000569, 3.69050993409222, 3.7066973496857, 

3.7220841139034, 3.73670502274119), `17` = c(3.61256300863946, 

3.63247956373837, 3.6514465876194, 3.66950167730754, 3.68668175332294, 

3.70302297477378, 3.71856066833415, 3.73332926988099, 3.74736227761509, 

3.76069221554748, 3.77335060629468, 3.78536795219014, 3.79677372378532, 

3.8075963548794, 3.81786324328206, 3.82760075657713), `40` = c(3.81619851049663, 

3.8260007143402, 3.83529805505603, 3.8441146545599, 3.85247368177297, 

3.86039736826768, 3.86790702646599, 3.87502306996281, 3.88176503559033, 

3.88815160687972, 3.89420063861237, 3.89992918218865, 3.90535351157249, 

3.91048914959976, 3.91535089446471, 3.91995284622251)), .Names = c("809", 

"810", "16", "825", "815", "108", "806", "118", "814", "805", 

"81", "102", "147", "53", "103", "803", "50", "807", "52", "101", 

"808", "816", "15", "812", "4", "822", "12", "5", "13", "18", 

"9", "6", "8", "7", "48", "54", "11", "21", "17", "40"), row.names = c("1", 

"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", 

"14", "15", "16"), class = "data.frame")

  row.names V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34 V35 V36 V37 V38 V39 V40

1 V1 NA NA 0.5676760 0.6284519 0.6662935 0.6753403 0.7459092 0.7662396 0.8577041 1.009536 NA 1.039759 1.109974 1.140437 1.231365 1.281998 1.357203 1.363673 1.365664 1.564868 1.631693 1.732234 1.896721 2.141080 2.159092 2.229580 2.281785 2.427755 2.486788 2.697031 2.759882 2.852504 2.878963 2.988557 3.019510 3.238397 3.336340 NA 3.612563 3.816199

2 V2 NA NA 0.5730923 0.6341572 0.6722041 0.6812925 0.7521655 0.7725770 0.8643734 1.016646 NA 1.046940 1.117306 1.147823 1.238899 1.289597 1.364876 1.371351 1.373343 1.572628 1.639446 1.739940 1.904295 2.148293 2.166272 2.236621 2.288714 2.434333 2.493210 2.702828 2.765474 2.857778 2.884143 2.993332 3.024167 3.242164 3.339681 NA 3.614610 3.817206

3 V3 NA NA 0.5785378 0.6398904 0.6781420 0.6872718 0.7584471 0.7789393 0.8710651 1.023773 NA 1.054139 1.124652 1.155222 1.246444 1.297204 1.372555 1.379036 1.381030 1.580389 1.647197 1.747642 1.911861 2.155493 2.173439 2.243647 2.295627 2.440894 2.499614 2.708607 2.771048 2.863034 2.889304 2.998089 3.028806 3.245915 3.343007 NA 3.616648 3.818207

4 V4 NA NA 0.5840126 0.6456514 0.6841071 0.6932781 0.7647540 0.7853263 0.8777788 1.030917 NA 1.061354 1.132012 1.162634 1.253998 1.304819 1.380241 1.386726 1.388722 1.588149 1.654947 1.755340 1.919418 2.162680 2.180592 2.250658 2.302525 2.447439 2.506001 2.714368 2.776603 2.868271 2.894447 3.002829 3.033427 3.249650 3.346318 NA 3.618675 3.819204

5 V5 NA NA 0.5895164 0.6514400 0.6900993 0.6993112 0.7710860 0.7917378 0.8845144 1.038079 NA 1.068585 1.139387 1.170059 1.261563 1.312444 1.387933 1.394423 1.396420 1.595909 1.662695 1.763033 1.926967 2.169854 2.187731 2.257655 2.309408 2.453967 2.512371 2.720111 2.782140 2.873489 2.899572 3.007550 3.038030 3.253369 3.349615 NA 3.620692 3.820195

6 V6 NA NA 0.5950492 0.6572562 0.6961184 0.7053710 0.7774428 0.7981737 0.8912717 1.045257 NA 1.075832 1.146774 1.177496 1.269137 1.320076 1.395631 1.402125 1.404123 1.603669 1.670440 1.770721 1.934507 2.177015 2.194857 2.264637 2.316276 2.460478 2.518723 2.725835 2.787658 2.878690 2.904678 3.012253 3.042615 3.257072 3.352896 NA 3.622699 3.821180

7 V7 NA NA 0.6006109 0.6630998 0.7021643 0.7114575 0.7838244 0.8046337 0.8980505 1.052453 NA 1.083095 1.154176 1.184946 1.276721 1.327716 1.403334 1.409832 1.411832 1.611428 1.678183 1.778404 1.942039 2.184162 2.201970 2.271605 2.323128 2.466972 2.525058 2.731541 2.793158 2.883871 2.909766 3.016938 3.047182 3.260760 3.356163 NA 3.624696 3.822161

8 V8 NA NA 0.6062014 0.6689707 0.7082368 0.7175703 0.7902305 0.8111177 0.9048506 1.059664 NA 1.090373 1.161590 1.192409 1.284315 1.335364 1.411042 1.417545 1.419546 1.619187 1.685924 1.786082 1.949561 2.191296 2.209068 2.278558 2.329965 2.473449 2.531375 2.737228 2.798639 2.889035 2.914836 3.021605 3.051732 3.264431 3.359415 NA 3.626683 3.823136

9 V9 NA NA 0.6118206 0.6748688 0.7143358 0.7237094 0.7966611 0.8176255 0.9116717 1.066892 NA 1.097666 1.169018 1.199883 1.291917 1.343019 1.418756 1.425263 1.427264 1.626944 1.693661 1.793754 1.957074 2.198416 2.216153 2.285496 2.336786 2.479909 2.537675 2.742897 2.804101 2.894179 2.919887 3.026255 3.056264 3.268086 3.362653 NA 3.628660 3.824106

10 V10 NA NA 0.6174684 0.6807940 0.7204612 0.7298746 0.8031158 0.8241570 0.9185138 1.074136 NA 1.104975 1.176458 1.207369 1.299528 1.350681 1.426474 1.432985 1.434988 1.634700 1.701396 1.801421 1.964578 2.205522 2.223224 2.292419 2.343592 2.486352 2.543958 2.748547 2.809546 2.899306 2.924919 3.030886 3.060778 3.271726 3.365876 NA 3.630627 3.825071

11 V11 NA NA 0.6231446 0.6867460 0.7266128 0.7360658 0.8095946 0.8307119 0.9253765 1.081396 NA 1.112298 1.183911 1.214866 1.307148 1.358351 1.434197 1.440711 1.442715 1.642455 1.709127 1.809083 1.972073 2.212615 2.230280 2.299327 2.350382 2.492778 2.550223 2.754179 2.814971 2.904414 2.929934 3.035500 3.065275 3.275350 3.369084 NA 3.632585 3.826031

12 V12 NA NA 0.6288493 0.6927248 0.7327905 0.7422828 0.8160972 0.8372900 0.9322597 1.088671 NA 1.119636 1.191376 1.222375 1.314776 1.366027 1.441924 1.448442 1.450447 1.650208 1.716855 1.816738 1.979558 2.219693 2.237322 2.306220 2.357156 2.499186 2.556470 2.759793 2.820378 2.909504 2.934930 3.040095 3.069754 3.278958 3.372278 NA 3.634533 3.826985

13 V13 NA NA 0.6345822 0.6987303 0.7389940 0.7485255 0.8226235 0.8438912 0.9391631 1.095962 NA 1.126988 1.198853 1.229895 1.322412 1.373710 1.449656 1.456177 1.458182 1.657959 1.724579 1.824387 1.987033 2.226758 2.244350 2.313097 2.363914 2.505577 2.562699 2.765388 2.825767 2.914575 2.939908 3.044673 3.074215 3.282550 3.375458 NA 3.636471 3.827935

14 V14 NA NA 0.6403432 0.7047623 0.7452233 0.7547936 0.8291733 0.8505154 0.9460866 1.103268 NA 1.134355 1.206341 1.237426 1.330056 1.381398 1.457391 1.463915 1.465922 1.665708 1.732300 1.832030 1.994498 2.233808 2.251364 2.319959 2.370656 2.511951 2.568911 2.770964 2.831137 2.919628 2.944867 3.049233 3.078658 3.286127 3.378623 NA 3.638399 3.828879

15 V15 NA NA 0.6461323 0.7108206 0.7514781 0.7610871 0.8357464 0.8571622 0.9530299 1.110589 NA 1.141735 1.213842 1.244967 1.337707 1.389093 1.465131 1.471657 1.473664 1.673455 1.740016 1.839666 2.001953 2.240844 2.258363 2.326806 2.377382 2.518308 2.575105 2.776522 2.836488 2.924662 2.949808 3.053775 3.083084 3.289688 3.381774 NA 3.640318 3.829819

16 V16 NA NA 0.6519493 0.7169052 0.7577584 0.7674058 0.8423426 0.8638315 0.9599928 1.117924 NA 1.149129 1.221353 1.252518 1.345366 1.396794 1.472873 1.479402 1.481410 1.681200 1.747729 1.847296 2.009398 2.247866 2.265347 2.333637 2.384092 2.524647 2.581281 2.782061 2.841821 2.929678 2.954731 3.058300 3.087493 3.293234 3.384910 NA 3.642227 3.830753

17 V17 NA NA 0.6577940 0.7230158 0.7640640 0.7737495 0.8489618 0.8705231 0.9669751 1.125273 NA 1.156536 1.228876 1.260079 1.353032 1.404500 1.480619 1.487150 1.489159 1.688941 1.755436 1.854919 2.016832 2.254873 2.272317 2.340452 2.390786 2.530968 2.587439 2.787582 2.847136 2.934676 2.959636 3.062807 3.091884 3.296764 3.388033 NA 3.644126 3.831682

18 V18 NA NA 0.6636665 0.7291523 0.7703946 0.7801180 0.8556037 0.8772368 0.9739766 1.132637 NA 1.163956 1.236410 1.267651 1.360705 1.412211 1.488368 1.494901 1.496911 1.696680 1.763139 1.862535 2.024256 2.261865 2.279272 2.347252 2.397463 2.537272 2.593579 2.793085 2.852432 2.939656 2.964522 3.067296 3.096257 3.300279 3.391141 NA 3.646016 3.832607

19 V19 NA NA 0.6695664 0.7353146 0.7767502 0.7865112 0.8622681 0.8839725 0.9809971 1.140015 NA 1.171390 1.243954 1.275231 1.368384 1.419928 1.496119 1.502654 1.504665 1.704416 1.770838 1.870143 2.031669 2.268843 2.286212 2.354036 2.404125 2.543559 2.599701 2.798568 2.857709 2.944617 2.969391 3.071767 3.100613 3.303778 3.394235 NA 3.647897 3.833526

20 V20 NA NA 0.6754938 0.7415025 0.7831305 0.7929288 0.8689549 0.8907298 0.9880363 1.147406 NA 1.178835 1.251508 1.282821 1.376070 1.427649 1.503873 1.510410 1.512421 1.712148 1.778531 1.877745 2.039071 2.275806 2.293137 2.360804 2.410769 2.549828 2.605806 2.804034 2.862968 2.949560 2.974241 3.076221 3.104952 3.307262 3.397315 NA 3.649768 3.834441

21 V21 NA NA 0.6814485 0.7477159 0.7895354 0.7993708 0.8756638 0.8975087 0.9950940 1.154811 NA 1.186294 1.259073 1.290421 1.383762 1.435375 1.511629 1.518168 1.520179 1.719877 1.786219 1.885338 2.046463 2.282754 2.300046 2.367556 2.417398 2.556079 2.611892 2.809480 2.868209 2.954484 2.979073 3.080657 3.109273 3.310731 3.400381 3.476347 3.651629 3.835350

22 V22 NA NA 0.6874302 0.7539546 0.7959648 0.8058370 0.8823948 0.9043089 1.0021701 1.162229 NA 1.193764 1.266647 1.298029 1.391460 1.443105 1.519388 1.525928 1.527939 1.727602 1.793902 1.892924 2.053843 2.289688 2.306941 2.374292 2.424009 2.562312 2.617961 2.814909 2.873431 2.959391 2.983886 3.085076 3.113577 3.314184 3.403432 3.479046 3.653481 3.836255

23 V23 NA NA 0.6934390 0.7602185 0.8024183 0.8123271 0.8891475 0.9111302 1.0092642 1.169660 NA 1.201247 1.274231 1.305645 1.399164 1.450839 1.527148 1.533689 1.535701 1.735323 1.801579 1.900502 2.061212 2.296606 2.313820 2.381012 2.430604 2.568528 2.624011 2.820318 2.878634 2.964279 2.988682 3.089477 3.117863 3.317622 3.406470 3.481733 3.655324 3.837155

24 V24 NA NA 0.6994747 0.7665073 0.8088960 0.8188410 0.8959217 0.9179724 1.0163762 1.177104 NA 1.208741 1.281824 1.313270 1.406873 1.458577 1.534910 1.541452 1.543464 1.743040 1.809250 1.908072 2.068569 2.303509 2.320684 2.387716 2.437183 2.574726 2.630043 2.825710 2.883819 2.969149 2.993459 3.093860 3.122132 3.321045 3.409494 3.484407 3.657158 3.838050

25 V25 NA NA 0.7055371 0.7728209 0.8153975 0.8253785 0.9027173 0.9248353 1.0235059 1.184560 NA 1.216247 1.289427 1.320904 1.414587 1.466319 1.542673 1.549216 1.551228 1.750753 1.816915 1.915634 2.075915 2.310397 2.327532 2.394404 2.443744 2.580906 2.636057 2.831082 2.888986 2.974000 2.998219 3.098226 3.126384 3.324453 3.412504 3.487068 3.658983 3.838940

26 V26 NA NA 0.7116260 0.7791593 0.8219227 0.8319394 0.9095341 0.9317187 1.0306530 1.192028 NA 1.223764 1.297038 1.328545 1.422307 1.474064 1.550437 1.556981 1.558993 1.758461 1.824575 1.923187 2.083250 2.317269 2.334365 2.401075 2.450289 2.587068 2.642053 2.836436 2.894134 2.978834 3.002960 3.102575 3.130619 3.327846 3.415500 3.489717 3.660798 3.839825

27 V27 NA NA 0.7177414 0.7855220 0.8284715 0.8385236 0.9163718 0.9386223 1.0378172 1.199509 NA 1.231291 1.304658 1.336193 1.430031 1.481813 1.558203 1.564747 1.566759 1.766165 1.832227 1.930732 2.090572 2.324126 2.341182 2.407730 2.456817 2.593212 2.648031 2.841772 2.899264 2.983649 3.007683 3.106906 3.134837 3.331223 3.418483 3.492353 3.662604 3.840706

28 V28 NA NA 0.7238831 0.7919092 0.8350436 0.8451308 0.9232303 0.9455461 1.0449984 1.207001 NA 1.238830 1.312286 1.343849 1.437759 1.489564 1.565969 1.572513 1.574526 1.773863 1.839874 1.938267 2.097883 2.330967 2.347984 2.414368 2.463328 2.599338 2.653990 2.847089 2.904375 2.988446 3.012388 3.111220 3.139037 3.334586 3.421451 3.494977 3.664401 3.841582

29 V29 NA NA 0.7300509 0.7983204 0.8416388 0.8517609 0.9301093 0.9524897 1.0521964 1.214505 NA 1.246379 1.319923 1.351513 1.445492 1.497318 1.573735 1.580279 1.582292 1.781557 1.847513 1.945794 2.105181 2.337793 2.354770 2.420990 2.469822 2.605447 2.659931 2.852387 2.909468 2.993225 3.017076 3.115517 3.143220 3.337934 3.424407 3.497589 3.666189 3.842453

30 V30 NA NA 0.7362447 0.8047557 0.8482570 0.8584137 0.9370087 0.9594529 1.0594108 1.222020 NA 1.253939 1.327567 1.359183 1.453229 1.505075 1.581502 1.588046 1.590059 1.789245 1.855146 1.953312 2.112467 2.344603 2.361539 2.427595 2.476299 2.611537 2.665854 2.857667 2.914542 2.997986 3.021745 3.119796 3.147386 3.341266 3.427348 3.500188 3.667968 3.843320

31 V31 0.1125727 NA 0.7424643 0.8112147 0.8548980 0.8650889 0.9439282 0.9664356 1.0666416 1.229546 NA 1.261508 1.335220 1.366860 1.460970 1.512833 1.589269 1.595812 1.597825 1.796928 1.862772 1.960821 2.119741 2.351398 2.368293 2.434183 2.482758 2.617609 2.671759 2.862929 2.919598 3.002729 3.026396 3.124058 3.151535 3.344584 3.430276 3.502774 3.669737 3.844182

32 V32 0.1143527 NA 0.7487095 0.8176973 0.8615615 0.8717864 0.9508676 0.9734375 1.0738883 1.237083 NA 1.269087 1.342879 1.374543 1.468714 1.520594 1.597035 1.603579 1.605591 1.804605 1.870390 1.968320 2.127003 2.358176 2.375031 2.440755 2.489201 2.623663 2.677645 2.868172 2.924636 3.007454 3.031030 3.128302 3.155668 3.347888 3.433190 3.505349 3.671498 3.845039

33 V33 0.1161539 NA 0.7549803 0.8242034 0.8682475 0.8785060 0.9578266 0.9804584 1.0811509 1.244630 NA 1.276676 1.350546 1.382232 1.476462 1.528357 1.604802 1.611344 1.613356 1.812276 1.878001 1.975810 2.134252 2.364939 2.381752 2.447310 2.495626 2.629699 2.683513 2.873396 2.929655 3.012161 3.035645 3.132530 3.159783 3.351176 3.436091 3.507911 3.673250 3.845892

34 V34 0.1179763 NA 0.7612765 0.8307328 0.8749556 0.8852475 0.9648052 0.9874980 1.0884291 1.252188 NA 1.284274 1.358220 1.389928 1.484212 1.536121 1.612567 1.619109 1.621121 1.819941 1.885605 1.983290 2.141488 2.371685 2.388458 2.453848 2.502034 2.635717 2.689363 2.878602 2.934656 3.016850 3.040243 3.136740 3.163881 3.354450 3.438978 3.510461 3.674994 3.846740

35 V35 0.1198201 NA 0.7675978 0.8372852 0.8816857 0.8920107 0.9718030 0.9945562 1.0957226 1.259756 NA 1.291881 1.365900 1.397629 1.491966 1.543887 1.620332 1.626873 1.628884 1.827600 1.893200 1.990760 2.148711 2.378416 2.395147 2.460369 2.508425 2.641717 2.695194 2.883790 2.939638 3.021521 3.044822 3.140933 3.167962 3.357708 3.441852 3.512999 3.676728 3.847583

36 V36 0.1216855 NA 0.7739441 0.8438606 0.8884376 0.8987953 0.9788199 1.0016328 1.1030312 1.267333 NA 1.299497 1.373587 1.405336 1.499722 1.551653 1.628096 1.634635 1.636646 1.835253 1.900788 1.998221 2.155921 2.385130 2.401819 2.466874 2.514798 2.647698 2.701007 2.888959 2.944603 3.026174 3.049384 3.145109 3.172026 3.360953 3.444713 3.515524 3.678453 3.848422

37 V37 0.1235727 NA 0.7803153 0.8504586 0.8952112 0.9056013 0.9858556 1.0087274 1.1103547 1.274921 NA 1.307121 1.381281 1.413048 1.507481 1.559421 1.635858 1.642396 1.644407 1.842899 1.908368 2.005671 2.163119 2.391828 2.408476 2.473361 2.521154 2.653662 2.706802 2.894109 2.949548 3.030808 3.053928 3.149268 3.176074 3.364183 3.447560 3.518038 3.680170 3.849257

38 V38 0.1254816 NA 0.7867111 0.8570792 0.9020061 0.9124283 0.9929099 1.0158400 1.1176928 1.282517 NA 1.314754 1.388980 1.420765 1.515242 1.567189 1.643619 1.650155 1.652165 1.850538 1.915939 2.013110 2.170303 2.398510 2.415116 2.479831 2.527492 2.659607 2.712578 2.899241 2.954476 3.035425 3.058455 3.153410 3.180105 3.367398 3.450394 3.520539 3.681878 3.850087

39 V39 0.1274126 NA 0.7931315 0.8637220 0.9088222 0.9192762 0.9999826 1.0229702 1.1250454 1.290123 NA 1.322395 1.396685 1.428487 1.523004 1.574958 1.651378 1.657913 1.659922 1.858170 1.923502 2.020539 2.177473 2.405175 2.421739 2.486283 2.533813 2.665533 2.718335 2.904355 2.959385 3.040025 3.062963 3.157535 3.184119 3.370598 3.453215 3.523029 3.683578 3.850912

40 V40 0.1293658 NA 0.7995762 0.8703871 0.9156593 0.9261448 1.0070735 1.0301179 1.1324121 1.297738 NA 1.330044 1.404396 1.436213 1.530769 1.582727 1.659136 1.665668 1.667677 1.865795 1.931056 2.027958 2.184630 2.411824 2.428345 2.492719 2.540116 2.671442 2.724075 2.909450 2.964276 3.044606 3.067454 3.161643 3.188116 3.373785 3.456023 3.525507 3.685268 3.851733

41 V41 0.1313413 NA 0.8060450 0.8770740 0.9225171 0.9330338 1.0141823 1.0372827 1.1397928 1.305361 NA 1.337700 1.412111 1.443944 1.538535 1.590496 1.666891 1.673422 1.675430 1.873413 1.938602 2.035366 2.191774 2.418456 2.434935 2.499137 2.546401 2.677332 2.729795 2.914527 2.969149 3.049169 3.071928 3.165734 3.192097 3.376957 3.458817 3.527973 3.686951 3.852550

42 V42 0.1333392 NA 0.8125379 NA 0.9293956 0.9399431 1.0213089 1.0444646 1.1471871 1.312992 NA 1.345364 1.419832 1.451678 1.546302 1.598264 1.674644 1.681172 1.683180 1.881023 1.946138 2.042763 2.198904 2.425072 2.441508 2.505538 2.552669 2.683204 2.735497 2.919585 2.974004 3.053715 3.076383 3.169808 3.196061 3.380114 3.461599 3.530427 3.688624 3.853362

43 V43 0.1353598 NA 0.8190545 NA 0.9362944 0.9468725 1.0284529 1.0516632 1.1545949 1.320632 NA 1.353035 1.427558 1.459417 1.554071 1.606033 1.682395 1.688920 1.690927 1.888626 1.953666 2.050149 2.206020 2.431671 2.448065 2.511922 2.558919 2.689057 2.741181 2.924625 2.978840 3.058243 3.080821 3.173865 3.200008 3.383257 3.464367 3.532869 3.690289 3.854170

44 V44 0.1374031 NA 0.8255947 NA 0.9432133 0.9538216 1.0356142 1.0588784 1.1620160 1.328280 NA 1.360712 1.435288 1.467159 1.561840 1.613800 1.690142 1.696665 1.698671 1.896221 1.961184 2.057523 2.213123 2.438253 2.454604 2.518288 2.565152 2.694892 2.746846 2.929647 2.983659 3.062753 3.085241 3.177906 3.203939 3.386386 3.467123 3.535299 3.691946 3.854973

45 V45 0.1394694 NA 0.8321584 NA 0.9501522 0.9607904 1.0427925 1.0661098 1.1694500 1.335935 NA 1.368397 1.443023 1.474905 1.569610 1.621567 1.697887 1.704407 1.706412 1.903808 1.968693 2.064887 2.220211 2.444818 2.461126 2.524636 2.571366 2.700709 2.752493 2.934650 2.988459 3.067246 3.089644 3.181929 3.207853 3.389501 3.469865 3.537718 3.693594 3.855773

46 V46 0.1415587 NA 0.8387453 NA 0.9571109 0.9677786 1.0499877 1.0733573 1.1768968 1.343598 NA 1.376088 1.450762 1.482653 1.577380 1.629333 1.705629 1.712146 1.714150 1.911386 1.976192 2.072239 2.227285 2.451367 2.467632 2.530968 2.577563 2.706507 2.758121 2.939635 2.993241 3.071720 3.094030 3.185936 3.211751 3.392601 3.472595 3.540125 3.695234 3.856568

47 V47 0.1436712 NA 0.8453553 NA 0.9640890 0.9747859 1.0571994 1.0806207 1.1843560 1.351268 NA 1.383785 1.458505 1.490405 1.585150 1.637097 1.713367 1.719881 1.721884 1.918957 1.983681 2.079579 2.234345 2.457898 2.474120 2.537281 2.583742 2.712286 2.763730 2.944601 2.998004 3.076177 3.098397 3.189926 3.215633 3.395688 3.475312 3.542521 3.696865 3.857358

48 V48 0.1458071 NA 0.8519881 NA 0.9710864 0.9818122 1.0644275 1.0878997 1.1918276 1.358945 NA 1.391487 1.466251 1.498159 1.592920 1.644860 1.721102 1.727612 1.729614 1.926518 1.991161 2.086907 2.241390 2.464413 2.480591 2.543577 2.589902 2.718048 2.769321 2.949549 3.002750 3.080617 3.102748 3.193900 3.219498 3.398760 3.478016 3.544904 3.698488 3.858144

49 V49 0.1479664 NA 0.8586436 NA 0.9781030 0.9888573 1.0716718 1.0951940 1.1993111 1.366628 NA 1.399196 1.474001 1.505916 1.600690 1.652621 1.728833 1.735340 1.737341 1.934071 1.998631 2.094224 2.248422 2.470911 2.487045 2.549855 2.596045 2.723790 2.774894 2.954479 3.007478 3.085039 3.107081 3.197857 3.223346 3.401818 3.480707 3.547277 3.700103 3.858926

50 V50 0.1501494 NA 0.8653216 NA 0.9851383 0.9959209 1.0789319 1.1025035 1.2068064 1.374318 NA 1.406910 1.481754 1.513675 1.608460 1.660380 1.736560 1.743063 1.745063 1.941615 2.006090 2.101529 2.255438 2.477391 2.493482 2.556116 2.602170 2.729515 2.780448 2.959390 3.012187 3.089443 3.111396 3.201797 3.227179 3.404863 3.483386 3.549638 3.701709 3.859704

51 V51 0.1523562 NA 0.8720219 NA 0.9921923 1.0030027 1.0862077 1.1098278 1.2143133 1.382015 1.396465 1.414629 1.489509 1.521436 1.616229 1.668137 1.744282 1.750782 1.752780 1.949151 2.013539 2.108821 2.262440 2.483855 2.499902 2.562358 2.608277 2.735220 2.785983 2.964284 3.016879 3.093830 3.115694 3.205721 3.230995 3.407893 3.486052 3.551987 3.703308 3.860478

52 V52 0.1545869 NA 0.8787443 NA 0.9992648 1.0101027 1.0934989 1.1171669 1.2218315 1.389717 1.404138 1.422354 1.497268 1.529199 1.623996 1.675892 1.752001 1.758497 1.760494 1.956677 2.020977 2.116101 2.269428 2.490301 2.506304 2.568583 2.614366 2.740908 2.791500 2.969159 3.021552 3.098199 3.119975 3.209628 3.234795 3.410910 3.488705 3.554326 3.704898 3.861247

53 V53 0.1568418 NA 0.8854885 NA 1.0063554 1.0172205 1.1008053 1.1245204 1.2293608 1.397425 1.411816 1.430083 1.505029 1.536964 1.631763 1.683644 1.759715 1.766206 1.768202 1.964193 2.028405 2.123369 2.276400 2.496729 2.512688 2.574790 2.620436 2.746576 2.796998 2.974015 3.026208 3.102551 3.124238 3.213519 3.238578 3.413912 3.491346 3.556652 3.706480 3.862013

54 V54 0.1591208 NA 0.8922545 NA 1.0134640 1.0243560 1.1081266 1.1318880 1.2369008 1.405139 1.419499 1.437816 1.512792 1.544729 1.639528 1.691394 1.767424 1.773911 1.775906 1.971700 2.035822 2.130624 2.283357 2.503141 2.519055 2.580979 2.626489 2.752226 2.802477 2.978854 3.030845 3.106885 3.128485 3.217394 3.242346 3.416901 3.493975 3.558968 3.708054 3.862774

55 V55 0.1614242 NA 0.8990420 NA 1.0205904 1.0315088 1.1154627 1.1392697 1.2444514 1.412857 1.427186 1.445554 1.520558 1.552496 1.647292 1.699140 1.775128 1.781611 1.783604 1.979198 2.043228 2.137867 2.290300 2.509535 2.525405 2.587150 2.632523 2.757858 2.807938 2.983674 3.035465 3.111202 3.132714 3.221252 3.246097 3.419876 3.496591 3.561272 3.709620 3.863531

56 V56 0.1637521 NA 0.9058507 NA 1.0277342 1.0386788 1.1228133 1.1466650 1.2520124 1.420581 1.434879 1.453296 1.528325 1.560264 1.655054 1.706883 1.782827 1.789305 1.791297 1.986686 2.050623 2.145097 2.297227 2.515911 2.531737 2.593304 2.638539 2.763471 2.813380 2.988476 3.040067 3.115502 3.136926 3.225093 3.249833 3.422838 3.499194 3.563565 3.711177 3.864284

57 V57 0.1661046 NA 0.9126806 NA 1.0348954 1.0458658 1.1301781 1.1540738 1.2595835 1.428310 1.442575 1.461041 1.536094 1.568032 1.662814 1.714623 1.790521 1.796994 1.798984 1.994163 2.058007 2.152314 2.304139 2.522271 2.538052 2.599439 2.644537 2.769065 2.818804 2.993260 3.044651 3.119784 3.141120 3.228919 3.253552 3.425786 3.501785 3.565847 3.712727 3.865033

58 V58 0.1684819 NA 0.9195313 NA 1.0420737 1.0530695 1.1375569 1.1614959 1.2671644 1.436043 1.450276 1.468791 1.543864 1.575801 1.670572 1.722359 1.798209 1.804678 1.806666 2.001631 2.065379 2.159517 2.311036 2.528612 2.544349 2.605556 2.650516 2.774641 2.824209 2.998026 3.049217 3.124049 3.145298 3.232728 3.257255 3.428720 3.504364 3.568118 3.714269 3.865777

59 V59 0.1708842 NA 0.9264027 NA 1.0492688 1.0602897 1.1449496 1.1689310 1.2747549 1.443781 1.457981 1.476543 1.551635 1.583570 1.678327 1.730092 1.805892 1.812355 1.814342 2.009088 2.072740 2.166708 2.317917 2.534936 2.550628 2.611655 2.656478 2.780198 2.829596 3.002774 3.053765 3.128297 3.149458 3.236521 3.260943 3.431641 3.506931 3.570378 3.715803 3.866518

60 V60 0.1733115 NA 0.9332946 NA 1.0564805 1.0675262 1.1523557 1.1763789 1.2823548 1.451522 1.465689 1.484299 1.559407 1.591339 1.686080 1.737820 1.813569 1.820026 1.822012 2.016535 2.080089 2.173886 2.324783 2.541242 2.556889 2.617736 2.662421 2.785737 2.834964 3.007504 3.058295 3.132527 3.153601 3.240298 3.264614 3.434548 3.509485 3.572627 3.717329 3.867255

61 V61 0.1757640 NA 0.9402067 NA 1.0637086 1.0747787 1.1597752 1.1838392 1.2899639 1.459268 1.473401 1.492057 1.567180 1.599107 1.693830 1.745545 1.821239 1.827691 1.829675 2.023972 2.087427 2.181050 2.331634 2.547531 2.563133 2.623799 2.668345 2.791257 2.840313 3.012215 3.062808 3.136740 3.157728 3.244058 3.268270 3.437441 3.512027 3.574865 3.718847 3.867988

62 V62 0.1782418 NA 0.9471389 NA 1.0709529 1.0820470 1.1672077 1.1913119 1.2975818 1.467017 1.481115 1.499819 1.574953 1.606876 1.701577 1.753265 1.828903 1.835350 1.837332 2.031397 2.094752 2.188200 2.338468 2.553802 2.569358 2.629844 2.674252 2.796759 2.845644 3.016909 3.067303 3.140936 3.161837 3.247803 3.271910 3.440322 3.514558 3.577092 3.720358 3.868717

63 V63 0.1807451 NA 0.9540909 NA 1.0782130 1.0893309 1.1746531 1.1987966 1.3052083 1.474770 1.488833 1.507582 1.582727 1.614643 1.709320 1.760980 1.836561 1.843002 1.844982 2.038812 2.102065 2.195337 2.345287 2.560055 2.575566 2.635870 2.680140 2.802242 2.850956 3.021584 3.071780 3.145115 3.165930 3.251531 3.275534 3.443188 3.517076 3.579308 3.721861 3.869442

64 V64 0.1832740 NA 0.9610625 NA 1.0854889 1.0966301 1.1821110 1.2062931 1.3128433 1.482525 1.496553 1.515348 1.590500 1.622410 1.717060 1.768690 1.844213 1.850647 1.852626 2.046216 2.109367 2.202460 2.352090 2.566291 2.581756 2.641879 2.686009 2.807706 2.856250 3.026242 3.076240 3.149277 3.170005 3.255244 3.279142 3.446042 3.519581 3.581513 3.723355 3.870163

65 V65 0.1858287 NA 0.9680535 NA 1.0927802 1.1039444 1.1895813 1.2138012 1.3204864 1.490284 1.504276 1.523116 1.598274 1.630175 1.724797 1.776396 1.851857 1.858286 1.860262 2.053609 2.116656 2.209570 2.358877 2.572508 2.587928 2.647869 2.691860 2.813151 2.861525 3.030881 3.080682 3.153422 3.174064 3.258940 3.282735 3.448882 3.522075 3.583707 3.724843 3.870880

66 V66 0.1884092 NA 0.9750637 NA 1.1000868 1.1112735 1.1970636 1.2213206 1.3281374 1.498045 1.512002 1.530885 1.606046 1.637940 1.732529 1.784096 1.859494 1.865917 1.867891 2.060990 2.123932 2.216665 2.365648 2.578708 2.594082 2.653840 2.697693 2.818578 2.866781 3.035503 3.085106 3.157550 3.178106 3.262621 3.286312 3.451709 3.524558 3.585891 3.726322 3.871593

67 V67 0.1910157 NA 0.9820928 NA 1.1074083 1.1186173 1.2045579 1.2288511 1.3357962 1.505809 1.519729 1.538656 1.613819 1.645703 1.740258 1.791791 1.867124 1.873541 1.875513 2.068360 2.131196 2.223746 2.372403 2.584889 2.600218 2.659794 2.703507 2.823987 2.872019 3.040107 3.089513 3.161660 3.182131 3.266285 3.289873 3.454523 3.527028 3.588064 3.727794 3.872302

68 V68 0.1936483 NA 0.9891407 NA 1.1147446 1.1259755 1.2120638 1.2363925 1.3434623 1.513575 1.527458 1.546428 1.621590 1.653463 1.747982 1.799481 1.874747 1.881157 1.883127 2.075718 2.138447 2.230813 2.379142 2.591053 2.606336 2.665729 2.709303 2.829377 2.877238 3.044692 3.093902 3.165754 3.186139 3.269934 3.293419 3.457324 3.529486 3.590227 3.729259 3.873008

69 V69 0.1963072 NA 0.9962072 NA 1.1220954 1.1333478 1.2195810 1.2439444 1.3511357 1.521343 1.535188 1.554202 1.629360 1.661223 1.755702 1.807164 1.882363 1.888766 1.890734 2.083065 2.145685 2.237866 2.385865 2.597199 2.612436 2.671646 2.715080 2.834748 2.882439 3.049260 3.098273 3.169831 3.190130 3.273567 3.296949 3.460112 3.531932 3.592378 3.730715 3.873709

70 V70 0.1989925 NA 1.0032919 NA 1.1294605 1.1407341 1.2271094 1.2515067 1.3588160 1.529113 1.542920 1.561976 1.637129 1.668979 1.763417 1.814842 1.889970 1.896367 1.898333 2.090400 2.152911 2.244905 2.392571 2.603326 2.618518 2.677544 2.720839 2.840100 2.887621 3.053810 3.102628 3.173891 3.194105 3.277185 3.300464 3.462886 3.534367 3.594519 3.732165 3.874407

71 V71 0.2017042 NA 1.0103947 NA 1.1368397 1.1481340 1.2346487 1.2590791 1.3665030 1.536885 1.550654 1.569751 1.644897 1.676734 1.771128 1.822514 1.897570 1.903959 1.905923 2.097722 2.160123 2.251929 2.399261 2.609436 2.624581 2.683424 2.726579 2.845434 2.892785 3.058343 3.106964 3.177934 3.198064 3.280786 3.303964 3.465648 3.536790 3.596650 3.733607 3.875101

72 V72 0.2044427 NA 1.0175154 NA 1.1442326 1.1555474 1.2421986 1.2666614 1.3741965 1.544657 1.558388 1.577526 1.652662 1.684486 1.778833 1.830179 1.905162 1.911544 1.913506 2.105033 2.167322 2.258938 2.405935 2.615527 2.630627 2.689285 2.732301 2.850750 2.897930 3.062857 3.111283 3.181961 3.202005 3.284372 3.307448 3.468397 3.539202 3.598770 3.735041 3.875791

73 V73 0.2072078 NA 1.0246537 NA 1.1516391 1.1629740 1.2497590 1.2742533 1.3818962 1.552431 1.566122 1.585301 1.660426 1.692235 1.786533 1.837838 1.912745 1.919120 1.921080 2.112331 2.174508 2.265933 2.412592 2.621600 2.636654 2.695128 2.738004 2.856047 2.903057 3.067354 3.115585 3.185970 3.205930 3.287942 3.310917 3.471133 3.541601 3.600880 3.736468 3.876478

74 V74 0.2099999 NA 1.0318094 NA 1.1590590 1.1704136 1.2573295 1.2818546 1.3896020 1.560206 1.573858 1.593076 1.668188 1.699981 1.794228 1.845490 1.920320 1.926688 1.928645 2.119617 2.181680 2.272913 2.419232 2.627655 2.642663 2.700953 2.743688 2.861325 2.908165 3.071833 3.119870 3.189963 3.209839 3.291497 3.314370 3.473856 3.543989 3.602979 3.737887 3.877161

75 V75 0.2128189 NA 1.0389823 NA 1.1664919 1.1778659 1.2649100 1.2894650 1.3973134 1.567981 1.581593 1.600851 1.675947 1.707724 1.801917 1.853136 1.927887 1.934247 1.936202 2.126891 2.188839 2.279878 2.425856 2.633692 2.648653 2.706759 2.749354 2.866584 2.913254 3.076294 3.124137 3.193939 3.213731 3.295036 3.317808 3.476566 3.546366 3.605068 3.739300 3.877840

76 V76 0.2156651 NA 1.0461722 NA 1.1739377 1.1853306 1.2725001 1.2970844 1.4050305 1.575757 1.589329 1.608626 1.683704 1.715463 1.809600 1.860774 1.935444 1.941797 1.943749 2.134152 2.195984 2.286828 2.432463 2.639711 2.654626 2.712546 2.755002 2.871825 2.918326 3.080738 3.128387 3.197899 3.217607 3.298560 3.321232 3.479263 3.548731 3.607147 3.740705 3.878515

77 V77 0.2185385 NA 1.0533787 NA 1.1813961 1.1928076 1.2800997 1.3047124 1.4127528 1.583533 1.597064 1.616399 1.691458 1.723199 1.817277 1.868405 1.942993 1.949338 1.951288 2.141400 2.203116 2.293763 2.439053 2.645711 2.660580 2.718316 2.760630 2.877048 2.923378 3.085164 3.132619 3.201842 3.221466 3.302068 3.324640 3.481948 3.551085 3.609215 3.742102 3.879187

78 V78 0.2214392 NA 1.0606018 NA 1.1888669 1.2002966 1.2877085 1.3123488 1.4204801 1.591309 1.604799 1.624172 1.699209 1.730931 1.824948 1.876029 1.950533 1.956870 1.958817 2.148635 2.210233 2.300683 2.445627 2.651693 2.666515 2.724066 2.766240 2.882252 2.928413 3.089573 3.136835 3.205768 3.225309 3.305561 3.328032 3.484620 3.553427 3.611273 3.743493 3.879855

79 V79 0.2243675 NA 1.0678411 NA 1.1963498 1.2077974 1.2953263 1.3199934 1.4282123 1.599085 1.612533 1.631944 1.706956 1.738659 1.832613 1.883645 1.958064 1.964392 1.966337 2.155857 2.217337 2.307587 2.452183 2.657657 2.672432 2.729798 2.771832 2.887437 2.933428 3.093963 3.141033 3.209678 3.229135 3.309039 3.331410 3.487279 3.555758 3.613322 3.744876 3.880519

80 V80 0.2273233 NA 1.0750965 NA 1.2038446 1.2153097 1.3029527 1.3276460 1.4359490 1.606860 1.620267 1.639714 1.714701 1.746383 1.840271 1.891253 1.965585 1.971905 1.973848 2.163066 2.224426 2.314476 2.458723 2.663602 2.678331 2.735511 2.777405 2.892604 2.938426 3.098337 3.145214 3.213571 3.232946 3.312501 3.334773 3.489926 3.558078 3.615359 3.746252 3.881180

81 V81 0.2303068 NA 1.0823676 NA 1.2113511 1.2228333 1.3105877 1.3353063 1.4436901 1.614635 1.627999 1.647482 1.722442 1.754103 1.847922 1.898854 1.973096 1.979409 1.981349 2.170262 2.231501 2.321350 2.465245 2.669529 2.684212 2.741206 2.782959 2.897752 2.943405 3.102693 3.149378 3.217448 3.236740 3.315948 3.338121 3.492561 3.560387 3.617387 3.747621 3.881837

82 V82 0.2333181 NA 1.0896543 NA 1.2188689 1.2303679 1.3182309 1.3429740 1.4514352 1.622408 1.635730 1.655249 1.730178 1.761817 1.855567 1.906446 1.980598 1.986902 1.988840 2.177445 2.238562 2.328208 2.471750 2.675438 2.690074 2.746882 2.788495 2.902882 2.948365 3.107031 3.153525 3.221309 3.240517 3.319380 3.341454 3.495183 3.562684 3.619405 3.748983 3.882491

83 V83 0.2363573 NA 1.0969564 NA 1.2263980 1.2379134 1.3258821 1.3506489 1.4591843 1.630181 1.643460 1.663014 1.737911 1.769527 1.863204 1.914030 1.988091 1.994386 1.996320 2.184614 2.245608 2.335051 2.478238 2.681328 2.695917 2.752540 2.794012 2.907993 2.953308 3.111352 3.157654 3.225153 3.244279 3.322796 3.344772 3.497792 3.564970 3.621413 3.750337 3.883141

84 V84 0.2394246 NA 1.1042736 NA 1.2339379 1.2454693 1.3335410 1.3583308 1.4669369 1.637952 1.651188 1.670777 1.745640 1.777232 1.870834 1.921606 1.995573 2.001859 2.003791 2.191769 2.252640 2.341878 2.484709 2.687200 2.701742 2.758179 2.799510 2.913085 2.958231 3.115655 3.161767 3.228981 3.248025 3.326198 3.348075 3.500389 3.567245 3.623410 3.751685 3.883788

85 V85 0.2425199 NA 1.1116056 NA 1.2414885 1.2530356 1.3412075 1.3660194 1.4746930 1.645722 1.658915 1.678537 1.753365 1.784932 1.878457 1.929173 2.003045 2.009322 2.011251 2.198911 2.259657 2.348689 2.491163 2.693053 2.707548 2.763799 2.804990 2.918159 2.963137 3.119941 3.165863 3.232792 3.251754 3.329584 3.351364 3.502974 3.569509 3.625398 3.753026 3.884431

86 V86 0.2456435 NA 1.1189522 NA 1.2490496 1.2606120 1.3488812 1.3737146 1.4824522 1.653490 1.666639 1.686295 1.761084 1.792627 1.886072 1.936731 2.010506 2.016775 2.018701 2.206038 2.266660 2.355484 2.497599 2.698888 2.713336 2.769401 2.810451 2.923215 2.968024 3.124210 3.169942 3.236588 3.255468 3.332955 3.354637 3.505546 3.571762 3.627376 3.754359 3.885071

87 V87 0.2487954 NA 1.1263133 NA 1.2566209 1.2681982 1.3565620 1.3814160 1.4902144 1.661256 1.674361 1.694049 1.768799 1.800316 1.893679 1.944281 2.017957 2.024217 2.026141 2.213152 2.273648 2.362263 2.504018 2.704704 2.719106 2.774984 2.815893 2.928252 2.972893 3.128462 3.174004 3.240367 3.259165 3.336312 3.357896 3.508107 3.574003 3.629345 3.755686 3.885707

88 V88 0.2519758 NA 1.1336884 NA 1.2642021 1.2757940 1.3642495 1.3891234 1.4979793 1.669020 1.682080 1.701801 1.776509 1.807999 1.901278 1.951821 2.025398 2.031648 2.033569 2.220252 2.280620 2.369026 2.510419 2.710502 2.724857 2.780549 2.821317 2.933271 2.977744 3.132696 3.178049 3.244130 3.262847 3.339653 3.361141 3.510655 3.576234 3.631303 3.757006 3.886339

89 V89 0.2551847 NA 1.1410775 NA 1.2717931 1.2833991 1.3719437 1.3968366 1.5057466 1.676781 1.689797 1.709549 1.784214 1.815676 1.908870 1.959352 2.032828 2.039069 2.040987 2.227338 2.287578 2.375773 2.516803 2.716281 2.730589 2.786095 2.826722 2.938271 2.982576 3.136913 3.182077 3.247876 3.266513 3.342980 3.364371 3.513191 3.578454 3.633252 3.758319 3.886968

90 V90 0.2584222 NA 1.1484803 NA 1.2793935 1.2910133 1.3796441 1.4045553 1.5135162 1.684540 1.697510 1.717294 1.791914 1.823347 1.916452 1.966874 2.040247 2.046478 2.048393 2.234409 2.294520 2.382504 2.523169 2.722041 2.736302 2.791622 2.832108 2.943253 2.987390 3.141112 3.186089 3.251607 3.270163 3.346291 3.367586 3.515714 3.580664 3.635190 3.759625 3.887594

91 V91 0.2616885 NA 1.1558966 NA 1.2870032 1.2986364 1.3873506 1.4122793 1.5212878 1.692296 1.705221 1.725035 1.799607 1.831011 1.924027 1.974386 2.047654 2.053876 2.055788 2.241466 2.301448 2.389219 2.529518 2.727784 2.741998 2.797130 2.837476 2.948217 2.992186 3.145295 3.190084 3.255322 3.273797 3.349588 3.370787 3.518226 3.582862 3.637120 3.760924 3.888217

92 V92 0.2649835 NA 1.1633260 NA 1.2946218 1.3062681 1.3950629 1.4200084 1.5290612 1.700049 1.712928 1.732773 1.807296 1.838670 1.931592 1.981888 2.055051 2.061263 2.063172 2.248508 2.308360 2.395917 2.535849 2.733507 2.747674 2.802620 2.842825 2.953162 2.996964 3.149460 3.194062 3.259021 3.277415 3.352870 3.373973 3.520726 3.585050 3.639039 3.762217 3.888836

93 V93 0.2683075 NA 1.1707684 NA 1.3022492 1.3139082 1.4027808 1.4277423 1.5368362 1.707799 1.720632 1.740506 1.814978 1.846321 1.939149 1.989381 2.062436 2.068639 2.070545 2.255536 2.315256 2.402599 2.542162 2.739212 2.753332 2.808091 2.848156 2.958088 3.001723 3.153609 3.198023 3.262703 3.281017 3.356138 3.377145 3.523214 3.587227 3.640949 3.763503 3.889451

94 V94 0.2716605 NA 1.1782235 NA 1.3098851 1.3215564 1.4105041 1.4354808 1.5446125 1.715546 1.728332 1.748235 1.822654 1.853966 1.946697 1.996863 2.069810 2.076002 2.077905 2.262550 2.322137 2.409264 2.548458 2.744898 2.758971 2.813544 2.853467 2.962997 3.006464 3.157740 3.201968 3.266370 3.284604 3.359390 3.380302 3.525689 3.589393 3.642850 3.764782 3.890063

95 V95 0.2750425 NA 1.1856911 NA 1.3175293 1.3292125 1.4182325 1.4432237 1.5523899 1.723289 1.736028 1.755960 1.830324 1.861603 1.954236 2.004335 2.077172 2.083355 2.085254 2.269548 2.329003 2.415913 2.554736 2.750566 2.764592 2.818978 2.858760 2.967887 3.011188 3.161854 3.205896 3.270021 3.288176 3.362628 3.383446 3.528153 3.591549 3.644741 3.766055 3.890672

96 V96 0.2784537 NA 1.1931709 NA 1.3251815 1.3368763 1.4259658 1.4509707 1.5601681 1.731028 1.743720 1.763680 1.837987 1.869234 1.961765 2.011797 2.084523 2.090695 2.092591 2.276531 2.335853 2.422545 2.560996 2.756215 2.770194 2.824393 2.864035 2.972758 3.015893 3.165952 3.209808 3.273657 3.291731 3.365852 3.386575 3.530606 3.593694 3.646622 3.767320 3.891278

97 V97 0.2818942 NA 1.2006627 NA 1.3328414 1.3445475 1.4337037 1.4587215 1.5679470 1.738763 1.751408 1.771395 1.845643 1.876856 1.969285 2.019249 2.091861 2.098023 2.099916 2.283500 2.342687 2.429161 2.567238 2.761845 2.775777 2.829789 2.869291 2.977612 3.020580 3.170032 3.213703 3.277276 3.295271 3.369061 3.389689 3.533046 3.595828 3.648495 3.768580 3.891880

98 V98 0.2853640 NA 1.2081663 NA 1.3405089 1.3522258 1.4414460 1.4664760 1.5757264 1.746493 1.759091 1.779105 1.853293 1.884472 1.976796 2.026689 2.099188 2.105339 2.107229 2.290453 2.349505 2.435759 2.573462 2.767457 2.781341 2.835167 2.874528 2.982447 3.025249 3.174095 3.217582 3.280880 3.298796 3.372255 3.392790 3.535475 3.597952 3.650357 3.769832 3.892479

99 V99 0.2888632 NA 1.2156814 NA 1.3481837 1.3599111 1.4491925 1.4742340 1.5835059 1.754220 1.766770 1.786810 1.860936 1.892079 1.984296 2.034119 2.106502 2.112643 2.114530 2.297392 2.356307 2.442341 2.579668 2.773050 2.786887 2.840526 2.879747 2.987264 3.029900 3.178142 3.221444 3.284468 3.302305 3.375435 3.395876 3.537892 3.600066 3.652211 3.771078 3.893075

100 V100 0.2923919 NA 1.2232078 NA 1.3558656 1.3676031 1.4569429 1.4819951 1.5912855 1.761942 1.774443 1.794509 1.868571 1.899679 1.991787 2.041538 2.113804 2.119934 2.121818 2.304315 2.363093 2.448906 2.585856 2.778624 2.792415 2.845867 2.884947 2.992062 3.034533 3.182172 3.225290 3.288040 3.305799 3.378601 3.398949 3.540297 3.602169 3.654055 3.772318 3.893667

101 V101 0.2959502 NA 1.2307452 NA 1.3635543 1.3753015 1.4646971 1.4897591 1.5990648 1.769658 1.782112 1.802203 1.876199 1.907271 1.999267 2.048946 2.121094 2.127213 2.129093 2.311222 2.369864 2.455454 2.592026 2.784180 2.797923 2.851189 2.890128 2.996843 3.039148 3.186185 3.229119 3.291597 3.309277 3.381752 3.402007 3.542691 3.604262 3.655890 3.773551 3.894257

102 V102 0.2995381 NA 1.2382934 NA 1.3712495 1.3830061 1.4724547 1.4975259 1.6068437 1.777370 1.789775 1.809891 1.883820 1.914854 2.006738 2.056343 2.128371 2.134479 2.136356 2.318115 2.376618 2.461985 2.598179 2.789717 2.803413 2.856492 2.895291 3.001605 3.043745 3.190181 3.232933 3.295138 3.312740 3.384889 3.405051 3.545073 3.606344 3.657715 3.774778 3.894843

103 V103 0.3031557 NA 1.2458522 NA 1.3789511 1.3907167 1.4802155 1.5052952 1.6146219 1.785077 1.797433 1.817572 1.891432 1.922429 2.014197 2.063728 2.135635 2.141733 2.143606 2.324991 2.383355 2.468499 2.604313 2.795236 2.808884 2.861777 2.900436 3.006349 3.048324 3.194160 3.236730 3.298664 3.316188 3.388012 3.408082 3.547444 3.608416 3.659532 3.775998 3.895425

104 V104 0.3068031 NA 1.2534213 NA 1.3866588 1.3984331 1.4879794 1.5130667 1.6223992 1.792778 1.805085 1.825248 1.899037 1.929995 2.021647 2.071102 2.142886 2.148973 2.150843 2.331852 2.390077 2.474996 2.610428 2.800735 2.814337 2.867042 2.905561 3.011075 3.052885 3.198123 3.240510 3.302174 3.319621 3.391121 3.411098 3.549803 3.610478 3.661339 3.777212 3.896005

105 V105 0.3104804 NA 1.2610004 NA 1.3943723 1.4061549 1.4957460 1.5208403 1.6301753 1.800474 1.812732 1.832917 1.906634 1.937552 2.029085 2.078464 2.150125 2.156201 2.158067 2.338697 2.396782 2.481475 2.616526 2.806216 2.819771 2.872290 2.910668 3.015782 3.057428 3.202069 3.244275 3.305669 3.323038 3.394215 3.414101 3.552151 3.612530 3.663138 3.778419 3.896582

106 V106 0.3141875 NA 1.2685894 NA 1.4020915 1.4138820 1.5035152 1.5286156 1.6379502 1.808164 1.820372 1.840580 1.914222 1.945101 2.036513 2.085814 2.157351 2.163415 2.165278 2.345527 2.403470 2.487938 2.622605 2.811679 2.825186 2.877518 2.915757 3.020472 3.061953 3.205999 3.248023 3.309149 3.326440 3.397295 3.417090 3.554488 3.614572 3.664927 3.779620 3.897155

107 V107 0.3179247 NA 1.2761879 NA 1.4098160 1.4216141 1.5112867 1.5363925 1.6457235 1.815848 1.828006 1.848236 1.921802 1.952640 2.043930 2.093153 2.164563 2.170616 2.172476 2.352341 2.410142 2.494383 2.628667 2.817122 2.830582 2.882728 2.920827 3.025144 3.066461 3.209912 3.251756 3.312613 3.329827 3.400362 3.420065 3.556813 3.616603 3.666707 3.780815 3.897725

108 V108 0.3216918 NA 1.2837958 NA 1.4175457 1.4293509 1.5190602 1.5441708 1.6534951 1.823526 1.835634 1.855885 1.929373 1.960170 2.051335 2.100479 2.171762 2.177804 2.179660 2.359138 2.416798 2.500810 2.634710 2.822547 2.835960 2.887920 2.925879 3.029797 3.070951 3.213808 3.255472 3.316062 3.333199 3.403414 3.423026 3.559127 3.618625 3.668478 3.782004 3.898292

109 V109 0.3254891 NA 1.2914128 NA 1.4252803 1.4370923 1.5268356 1.5519502 1.6612647 1.831197 1.843255 1.863527 1.936936 1.967691 2.058730 2.107793 2.178948 2.184978 2.186830 2.365920 2.423437 2.507220 2.640734 2.827953 2.841319 2.893093 2.930912 3.034433 3.075423 3.217688 3.259172 3.319495 3.336557 3.406452 3.425974 3.561429 3.620636 3.670241 3.783186 3.898856

110 V110 0.3293164 NA 1.2990386 NA 1.4330195 1.4448381 1.5346127 1.5597305 1.6690322 1.838862 1.850870 1.871162 1.944489 1.975202 2.066113 2.115095 2.186120 2.192138 2.193987 2.372685 2.430058 2.513613 2.646741 2.833341 2.846660 2.898247 2.935926 3.039050 3.079877 3.221552 3.262857 3.322914 3.339899 3.409477 3.428908 3.563721 3.622638 3.671994 3.784362 3.899417

111 V111 0.3331740 NA 1.3066730 NA 1.4407632 1.4525879 1.5423911 1.5675114 1.6767972 1.846520 1.858477 1.878789 1.952034 1.982703 2.073484 2.122385 2.193278 2.199285 2.201130 2.379434 2.436664 2.519988 2.652729 2.838710 2.851981 2.903382 2.940922 3.043649 3.084314 3.225399 3.266525 3.326317 3.343226 3.412487 3.431829 3.566001 3.624629 3.673739 3.785532 3.899975

112 V112 0.3370619 NA 1.3143158 NA 1.4485111 1.4603415 1.5501707 1.5752928 1.6845597 1.854172 1.866078 1.886408 1.959569 1.990195 2.080844 2.129661 2.200423 2.206418 2.208259 2.386167 2.443252 2.526346 2.658698 2.844060 2.857284 2.908499 2.945900 3.048231 3.088733 3.229230 3.270178 3.329705 3.346538 3.415484 3.434736 3.568271 3.626611 3.675474 3.786696 3.900530

113 V113 0.3409800 NA 1.3219668 NA 1.4562629 1.4680987 1.5579513 1.5830744 1.6923193 1.861816 1.873671 1.894020 1.967095 1.997676 2.088192 2.136926 2.207554 2.213537 2.215375 2.392884 2.449823 2.532686 2.664649 2.849392 2.862569 2.913598 2.950859 3.052795 3.093134 3.233044 3.273814 3.333078 3.349836 3.418467 3.437630 3.570529 3.628583 3.677201 3.787854 3.901082

114 V114 0.3449285 NA 1.3296256 NA 1.4640185 1.4758593 1.5657325 1.5908560 1.7000760 1.869453 1.881257 1.901624 1.974611 2.005147 2.095527 2.144177 2.214670 2.220641 2.222476 2.399584 2.456377 2.539008 2.670582 2.854704 2.867834 2.918678 2.955800 3.057340 3.097518 3.236842 3.277435 3.336437 3.353119 3.421436 3.440510 3.572776 3.630545 3.678920 3.789006 3.901630

115 V115 0.3489073 NA 1.3372921 NA 1.4717776 1.4836231 1.5735143 1.5986374 1.7078294 1.877083 1.888835 1.909219 1.982118 2.012608 2.102851 2.151415 2.221773 2.227732 2.229563 2.406268 2.462915 2.545313 2.676496 2.859998 2.873081 2.923739 2.960722 3.061868 3.101884 3.240624 3.281041 3.339780 3.356387 3.424391 3.443377 3.575012 3.632497 3.680629 3.790151 3.902176

116 V116 0.3529166 NA 1.3449659 NA 1.4795399 1.4913897 1.5812963 1.6064184 1.7155794 1.884705 1.896405 1.916807 1.989614 2.020058 2.110163 2.158640 2.228862 2.234808 2.236635 2.412935 2.469435 2.551599 2.682392 2.865274 2.878310 2.928782 2.965626 3.066378 3.106233 3.244390 3.284630 3.343108 3.359640 3.427333 3.446230 3.577238 3.634439 3.682330 3.791291 3.902719

117 V117 0.3569563 NA 1.3526469 NA 1.4873052 1.4991590 1.5890784 1.6141987 1.7233258 1.892319 1.903967 1.924385 1.997101 2.027498 2.117462 2.165852 2.235936 2.241870 2.243693 2.419585 2.475938 2.557868 2.688269 2.870531 2.883520 2.933806 2.970512 3.070871 3.110564 3.248140 3.288204 3.346421 3.362879 3.430261 3.449070 3.579452 3.636372 3.684023 3.792424 3.903259

118 V118 0.3610266 NA 1.3603349 NA 1.4950733 1.5069308 1.5968603 1.6219781 1.7310683 1.899925 1.911522 1.931955 2.004577 2.034927 2.124748 2.173051 2.242996 2.248917 2.250737 2.426219 2.482423 2.564119 2.694128 2.875769 2.888711 2.938812 2.975379 3.075345 3.114878 3.251873 3.291762 3.349720 3.366103 3.433176 3.451897 3.581656 3.638295 3.685706 3.793552 3.903795

119 V119 0.3651274 NA 1.3680295 NA 1.5028440 1.5147047 1.6046418 1.6297564 1.7388069 1.907523 1.919068 1.939517 2.012043 2.042344 2.132022 2.180236 2.250041 2.255950 2.257766 2.432836 2.488892 2.570353 2.699968 2.880988 2.893883 2.943799 2.980228 3.079802 3.119174 3.255591 3.295305 3.353004 3.369312 3.436077 3.454711 3.583849 3.640209 3.687382 3.794673 3.904329

120 V120 0.3692587 NA 1.3757306 NA 1.5106171 1.5224807 1.6124227 1.6375334 1.7465412 1.915113 1.926605 1.947069 2.019499 2.049751 2.139284 2.187408 2.257071 2.262968 2.264780 2.439436 2.495342 2.576568 2.705790 2.886189 2.899037 2.948768 2.985059 3.084241 3.123453 3.259292 3.298832 3.356273 3.372507 3.438965 3.457512 3.586031 3.642113 3.689048 3.795789 3.904860

121 V121 0.3734206 1.111657 1.3834379 NA 1.5183922 1.5302584 1.6202028 1.6453089 1.7542710 1.922694 1.934134 1.954612 2.026943 2.057147 2.146532 2.194566 2.264087 2.269971 2.271779 2.446019 2.501776 2.582765 2.711593 2.891371 2.904172 2.953719 2.989871 3.088662 3.127714 3.262978 3.302344 3.359527 3.375688 3.441839 3.460300 3.588203 3.644007 3.690706 3.796899 3.905388

122 V122 0.3776132 1.118936 1.3911511 NA 1.5261692 1.5380376 1.6279818 1.6530826 1.7619963 1.930267 1.941654 1.962146 2.034377 2.064531 2.153767 2.201710 2.271088 2.276960 2.278763 2.452585 2.508192 2.588944 2.717377 2.896535 2.909289 2.958651 2.994665 3.093066 3.131958 3.266647 3.305840 3.362767 3.378854 3.444700 3.463074 3.590363 3.645893 3.692356 3.798003 3.905914

123 V123 0.3818364 1.126229 1.3988700 NA 1.5339478 1.5458181 1.6357596 1.6608544 1.7697167 1.937831 1.949165 1.969670 2.041800 2.071903 2.160990 2.208840 2.278074 2.283933 2.285733 2.459134 2.514590 2.595106 2.723143 2.901680 2.914387 2.963564 2.999441 3.097452 3.136185 3.270301 3.309321 3.365992 3.382006 3.447548 3.465836 3.592514 3.647768 3.693998 3.799101 3.906436

124 V124 0.3860902 1.133536 1.4065945 NA 1.5417279 1.5535997 1.6435359 1.6686240 1.7774321 1.945386 1.956667 1.977185 2.049212 2.079264 2.168198 2.215956 2.285045 2.290891 2.292687 2.465666 2.520971 2.601249 2.728890 2.906806 2.919467 2.968460 3.004199 3.101820 3.140394 3.273939 3.312786 3.369203 3.385144 3.450382 3.468584 3.594653 3.649634 3.695631 3.800194 3.906955

125 V125 0.3903748 1.140856 1.4143242 NA 1.5495092 1.5613822 1.6513105 1.6763912 1.7851423 1.952932 1.964160 1.984689 2.056613 2.086613 2.175394 2.223058 2.292001 2.297834 2.299626 2.472180 2.527335 2.607374 2.734619 2.911914 2.924528 2.973336 3.008938 3.106171 3.144587 3.277561 3.316236 3.372399 3.388267 3.453204 3.471320 3.596783 3.651491 3.697256 3.801280 3.907472

126 V126 0.3946900 1.148190 1.4220588 NA 1.5572914 1.5691652 1.6590832 1.6841559 1.7928470 1.960468 1.971643 1.992184 2.064002 2.093950 2.182576 2.230146 2.298942 2.304762 2.306549 2.478678 2.533680 2.613481 2.740329 2.917003 2.929570 2.978195 3.013659 3.110505 3.148762 3.281167 3.319671 3.375580 3.391376 3.456012 3.474043 3.598901 3.653339 3.698872 3.802361 3.907986

127 V127 0.3990359 1.155537 1.4297983 NA 1.5650743 1.5769487 1.6668538 1.6919177 1.8005462 1.967995 1.979117 1.999669 2.071380 2.101275 2.189745 2.237220 2.305867 2.311674 2.313458 2.485158 2.540008 2.619569 2.746020 2.922074 2.934594 2.983035 3.018362 3.114820 3.152920 3.284758 3.323091 3.378748 3.394471 3.458807 3.476753 3.601010 3.655177 3.700480 3.803436 3.908497

128 V128 0.4034126 1.162898 1.4375423 NA 1.5728578 1.5847323 1.6746220 1.6996766 1.8082396 1.975513 1.986581 2.007143 2.078746 2.108588 2.196899 2.244279 2.312777 2.318571 2.320350 2.491621 2.546318 2.625640 2.751693 2.927126 2.939600 2.987857 3.023047 3.119119 3.157061 3.288332 3.326496 3.381900 3.397552 3.461589 3.479450 3.603107 3.657006 3.702080 3.804506 3.909005

129 V129 0.4078200 1.170270 1.4452906 NA 1.5806416 1.5925159 1.6823877 1.7074322 1.8159270 1.983021 1.994035 2.014607 2.086100 2.115889 2.204040 2.251323 2.319672 2.325452 2.327227 2.498067 2.552610 2.631692 2.757346 2.932160 2.944587 2.992661 3.027714 3.123400 3.161184 3.291892 3.329885 3.385039 3.400619 3.464357 3.482135 3.605195 3.658826 3.703672 3.805570 3.909510

130 V130 0.4122581 1.177656 1.4530429 NA 1.5884254 1.6002992 1.6901507 1.7151845 1.8236083 1.990518 2.001479 2.022061 2.093442 2.123177 2.211167 2.258353 2.326550 2.332317 2.334089 2.504495 2.558885 2.637726 2.762982 2.937175 2.949555 2.997446 3.032363 3.127664 3.165291 3.295435 3.333259 3.388163 3.403672 3.467113 3.484807 3.607272 3.660637 3.705256 3.806628 3.910013

131 V131 0.4167269 1.185054 1.4607991 NA 1.5962091 1.6080820 1.6979107 1.7229331 1.8312832 1.998006 2.008912 2.029504 2.100772 2.130452 2.218280 2.265368 2.333414 2.339167 2.340934 2.510905 2.565141 2.643741 2.768598 2.942171 2.954505 3.002213 3.036993 3.131910 3.169381 3.298964 3.336619 3.391273 3.406710 3.469856 3.487466 3.609339 3.662439 3.706832 3.807681 3.910513

132 V132 0.4212265 1.192463 1.4685588 NA 1.6039924 1.6158641 1.7056675 1.7306779 1.8389516 2.005484 2.016336 2.036935 2.108090 2.137715 2.225379 2.272368 2.340261 2.346001 2.347764 2.517298 2.571380 2.649738 2.774196 2.947149 2.959437 3.006962 3.041606 3.136139 3.173454 3.302476 3.339963 3.394369 3.409735 3.472586 3.490113 3.611396 3.664231 3.708400 3.808728 3.911010

133 V133 0.4257569 1.199885 1.4763219 NA 1.6117751 1.6236453 1.7134210 1.7384187 1.8466133 2.012951 2.023749 2.044356 2.115396 2.144965 2.232463 2.279354 2.347093 2.352819 2.354578 2.523673 2.577600 2.655717 2.779775 2.952109 2.964350 3.011692 3.046201 3.140351 3.177509 3.305973 3.343293 3.397451 3.412746 3.475304 3.492747 3.613443 3.666015 3.709959 3.809769 3.911504

134 V134 0.4303179 1.207318 1.4840882 NA 1.6195570 1.6314254 1.7211709 1.7461552 1.8542680 2.020407 2.031151 2.051766 2.122689 2.152202 2.239533 2.286324 2.353908 2.359621 2.361376 2.530031 2.583803 2.661678 2.785335 2.957050 2.969244 3.016405 3.050778 3.144545 3.181548 3.309455 3.346607 3.400519 3.415743 3.478008 3.495369 3.615479 3.667789 3.711511 3.810805 3.911996

135 V135 0.4349097 1.214762 1.4918573 NA 1.6273378 1.6392040 1.7289171 1.7538873 1.8619157 2.027853 2.038542 2.059164 2.129970 2.159426 2.246589 2.293279 2.360708 2.366407 2.368158 2.536371 2.589987 2.667620 2.790877 2.961972 2.974121 3.021099 3.055336 3.148722 3.185570 3.312922 3.349907 3.403572 3.418726 3.480700 3.497978 3.617506 3.669555 3.713055 3.811836 3.912485

136 V136 0.4395321 1.222218 1.4996291 NA 1.6351175 1.6469812 1.7366592 1.7616149 1.8695561 2.035288 2.045923 2.066551 2.137238 2.166636 2.253630 2.300219 2.367491 2.373177 2.374923 2.542693 2.596154 2.673543 2.796400 2.966877 2.978979 3.025775 3.059877 3.152882 3.189576 3.316373 3.353192 3.406612 3.421696 3.483379 3.500575 3.619522 3.671312 3.714591 3.812861 3.912971

137 V137 0.4441853 1.229684 1.5074033 NA 1.6428956 1.6547565 1.7443972 1.7693376 1.8771891 2.042712 2.053292 2.073927 2.144493 2.173833 2.260656 2.307143 2.374259 2.379930 2.381672 2.548997 2.602302 2.679448 2.801904 2.971762 2.983818 3.030433 3.064400 3.157025 3.193564 3.319809 3.356462 3.409638 3.424652 3.486045 3.503160 3.621529 3.673060 3.716119 3.813881 3.913455

138 V138 0.4488691 1.237161 1.5151797 NA 1.6506721 1.6625298 1.7521308 1.7770553 1.8848145 2.050125 2.060651 2.081290 2.151734 2.181017 2.267667 2.314052 2.381010 2.386667 2.388405 2.555284 2.608432 2.685335 2.807389 2.976630 2.988640 3.035073 3.068905 3.161151 3.197536 3.323229 3.359717 3.412650 3.427594 3.488699 3.505732 3.623525 3.674799 3.717639 3.814895 3.913936

139 V139 0.4535836 1.244649 1.5229581 NA 1.6584467 1.6703009 1.7598598 1.7847677 1.8924321 2.057526 2.067998 2.088642 2.158963 2.188187 2.274664 2.320945 2.387744 2.393388 2.395122 2.561553 2.614543 2.691203 2.812855 2.981479 2.993443 3.039695 3.073392 3.165260 3.201491 3.326635 3.362958 3.415648 3.430523 3.491340 3.508292 3.625512 3.676529 3.719151 3.815904 3.914414

140 V140 0.4583288 1.252146 1.5307382 NA 1.6662192 1.6780696 1.7675841 1.7924748 1.9000417 2.064917 2.075333 2.095982 2.166179 2.195344 2.281646 2.327823 2.394463 2.400093 2.401822 2.567803 2.620637 2.697052 2.818303 2.986310 2.998227 3.044299 3.077862 3.169351 3.205429 3.330025 3.366184 3.418632 3.433438 3.493969 3.510840 3.627488 3.678251 3.720656 3.816907 3.914890

141 V141 0.4631045 1.259654 1.5385199 NA 1.6739894 1.6858357 1.7753034 1.8001763 1.9076432 2.072295 2.082657 2.103309 2.173381 2.202486 2.288612 2.334685 2.401165 2.406780 2.408505 2.574036 2.626712 2.702883 2.823732 2.991122 3.002994 3.048885 3.082314 3.173426 3.209351 3.333400 3.369396 3.421602 3.436339 3.496585 3.513376 3.629455 3.679963 3.722153 3.817906 3.915363

142 V142 0.4679108 1.267171 1.5463028 NA 1.6817571 1.6935989 1.7830175 1.8078720 1.9152364 2.079662 2.089969 2.110625 2.180570 2.209615 2.295563 2.341532 2.407850 2.413452 2.415172 2.580251 2.632769 2.708696 2.829143 2.995916 3.007742 3.053453 3.086748 3.177484 3.213256 3.336761 3.372593 3.424559 3.439227 3.499189 3.515899 3.631412 3.681668 3.723642 3.818898 3.915833

143 V143 0.4727477 1.274698 1.5540868 NA 1.6895220 1.7013591 1.7907263 1.8155618 1.9228211 2.087017 2.097269 2.117928 2.187745 2.216730 2.302499 2.348362 2.414519 2.420106 2.421822 2.586447 2.638808 2.714490 2.834534 3.000692 3.012472 3.058003 3.091164 3.181525 3.217145 3.340106 3.375776 3.427502 3.442102 3.501781 3.518411 3.633360 3.683363 3.725123 3.819886 3.916301

144 V144 0.4776151 1.282233 1.5618716 NA 1.6972840 1.7091160 1.7984295 1.8232454 1.9303972 2.094360 2.104557 2.125218 2.194907 2.223830 2.309420 2.355177 2.421170 2.426744 2.428455 2.592626 2.644828 2.720265 2.839907 3.005450 3.017184 3.062535 3.095562 3.185549 3.221017 3.343436 3.378944 3.430432 3.444964 3.504360 3.520911 3.635297 3.685050 3.726597 3.820869 3.916766

145 V145 0.4825130 1.289778 1.5696570 NA 1.7050428 1.7168694 1.8061270 1.8309226 1.9379644 2.101691 2.111833 2.132496 2.202054 2.230917 2.316325 2.361975 2.427806 2.433365 2.435072 2.598786 2.650830 2.726021 2.845261 3.010189 3.021877 3.067049 3.099943 3.189556 3.224872 3.346752 3.382098 3.433348 3.447812 3.506927 3.523398 3.637225 3.686728 3.728064 3.821846 3.917229

146 V146 0.4874414 1.297332 1.5774428 NA 1.7127983 1.7246192 1.8138186 1.8385933 1.9455227 2.109010 2.119097 2.139761 2.209188 2.237989 2.323215 2.368758 2.434424 2.439969 2.441671 2.604928 2.656813 2.731759 2.850597 3.014910 3.026553 3.071545 3.104307 3.193547 3.228712 3.350052 3.385238 3.436250 3.450646 3.509481 3.525874 3.639144 3.688398 3.729523 3.822818 3.917689

147 V147 0.4924001 1.304894 1.5852287 NA 1.7205503 1.7323651 1.8215040 1.8462573 1.9530718 2.116317 2.126348 2.147013 2.216308 2.245046 2.330088 2.375524 2.441025 2.446556 2.448254 2.611052 2.662778 2.737479 2.855913 3.019613 3.031210 3.076024 3.108652 3.197520 3.232535 3.353338 3.388363 3.439139 3.453468 3.512024 3.528338 3.641052 3.690060 3.730974 3.823785 3.918147

148 V148 0.4973892 1.312464 1.5930146 NA 1.7282984 1.7401070 1.8291831 1.8539145 1.9606116 2.123611 2.133586 2.154252 2.223414 2.252089 2.336947 2.382274 2.447610 2.453126 2.454820 2.617158 2.668724 2.743179 2.861211 3.024298 3.035849 3.080485 3.112981 3.201477 3.236341 3.356609 3.391474 3.442015 3.456276 3.514554 3.530790 3.642952 3.691713 3.732418 3.824746 3.918602

149 V149 0.5024086 1.320043 1.6008002 NA 1.7360427 1.7478446 1.8368558 1.8615645 1.9681420 2.130892 2.140812 2.161478 2.230505 2.259117 2.343789 2.389007 2.454177 2.459679 2.461368 2.623246 2.674652 2.748861 2.866490 3.028965 3.040470 3.084928 3.117291 3.205417 3.240131 3.359865 3.394571 3.444877 3.459071 3.517073 3.533230 3.644842 3.693357 3.733854 3.825703 3.919055

150 V150 0.5074583 1.327629 1.6085853 NA 1.7437827 1.7555777 1.8445218 1.8692073 1.9756627 2.138160 2.148026 2.168691 2.237582 2.266131 2.350615 2.395724 2.460728 2.466214 2.467899 2.629315 2.680562 2.754524 2.871751 3.033613 3.045074 3.089353 3.121585 3.209341 3.243905 3.363107 3.397653 3.447726 3.461854 3.519579 3.535658 3.646722 3.694993 3.735283 3.826654 3.919505

151 V151 0.5125382 1.335222 1.6163697 NA 1.7515184 1.7633062 1.8521809 1.8768426 1.9831737 2.145416 2.155226 2.175890 2.244644 2.273130 2.357426 2.402425 2.467261 2.472733 2.474413 2.635366 2.686453 2.760169 2.876992 3.038244 3.049659 3.093760 3.125860 3.213248 3.247663 3.366334 3.400722 3.450561 3.464623 3.522073 3.538075 3.648593 3.696621 3.736705 3.827601 3.919953

[Dennis Murphy]

Hi:

I don't see why you would have had trouble dput()ing dftb - I copied
it to a text file and read it in as a data frame with no problems.
However, given the size of these objects, it probably would have been
better to post them somewhere (e.g., Dropbox or some temporary free
storage site).

Evidently dftb is a more detailed version of dtfa in the sense that
the former has 10 times the data density of the former, but the
relationships are the same. The real problem is that you have forty
lines to deal with - if you want separate colors for each line, that's
possible, but there are only so many shapes available (< 30) so you'll
end up recycling shapes at some point. You're probably better off just
setting color, but with 40 different variables, the default legend
will be a mess. You'll have to decide how you want to deal with it,
and the place to look is the guide_legend() function.

Let's just work with dfta, since the same idea applies equally to
dftb. The first step is to melt the data, which results in a data
frame with two variables: variable (which contains the variable names,
factor) and value (stacked data values, numeric). We then add the
x-values and proceed to the ggplot.

library(ggplot2)
library(reshape2)

ma <- melt(dfta)
ma$x <- seq(10, 160, 10)
str(ma)

ggplot(ma, aes(x = x, y = value, group = variable)) +
geom_line(size = 1)

This plots all the lines by variable (aka a spaghetti plot). If you
want to color them separately, substitute 'color' for 'group' in the
ggplot() call above. Adding the points is optional; I kept them out
because they don't add any useful information to the graph.

If you decide you want a color legend, I'd suggest creating a vector
of colors in advance, say mycol, and then add it to the ggplot() call
as follows:

mycol <- c( <insert color codes here, possibly in hex> )
ggplot(ma, aes(x = x, y = value, color = variable)) +
geom_line(size = 1) +
scale_color_manual(values = mycol)

Is that more or less what you had in mind?

Dennis

[jpm miao]

Hi Dennis, 

   Thank you very much. That's exactly what I need. I use RStudio. When I try to dput the dataframe dftb, the output is so big that the early part of it just disappear.   

   Just a few more things to be added. I try to use the lines 

1. 

  ma["myshape"]<-as.integer(as.integer(ma$variable)%%10) 

  and 

  ggplot(ma, aes(x = x, y = value, group = variable, shape=myshape)) +.....

  to differentiate among the groups by point shapes. The error message emerges: 

  "Error: A continuous variable can not be mapped to shape". To my knowledge, the shapes take the values from 0 to 25.

2. 

   With 40 curves, to make the graph look clear,  how could I change the width/height of the graph? I only know how to adjust the aspect ratio by 

   theme(aspect.ratio = 1.8)

   but the line makes the graph even smaller (same height, smaller width).

   Thanks, 

Miao  

library(reshape2)

ma <- melt(dfta)

mb <- melt(dftb)

ma$x <- seq(10, 160, 10)

mb$x <- 10:160

str(ma)

str(mb)

# shape, symbols

#ma["myshape"]<-as.integer(as.integer(ma$variable)%%10)

ggplot(ma, aes(x = x, y = value, group = variable)) +

#ggplot(ma, aes(x = x, y = value, group = variable, shape=myshape)) +

  geom_point(size = 1)+

# scale_shape_manual(values=myshape)

  geom_line(data=mb, aes(x =x, y=value, group = Var2), size=0.1)

# theme(aspect.ratio = 1.8)

2013/5/20 Dennis Murphy <djm...@gmail.com>