Legend and colour issues

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julienhi...@gmail.com

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May 7, 2015, 3:45:34 PM5/7/15

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Hi everyone,

I have some issues with ggplot ...

Here is my code :

####Decembre

p <- ggplot(dec, aes(dayindec, LT))

p + geom_point(aes(colour = factor(yearindec), size=2))+ stat_smooth(method="lm", se=FALSE) + ylab("Total Lenght") + xlab("Days") + ggtitle(bquote(atop(.("December")))) + theme_bw() + scale_x_continuous(breaks=seq(1,31,by=5)) + scale_y_continuous(breaks=seq(42,56,by=2)) + theme(legend.title=element_blank(), plot.title = element_text(lineheight=.8, face="bold"), panel.grid.major=element_blank(), panel.grid.minor=element_blank(), legend.position="bottom")

####Janvier

p2 <- ggplot(jan, aes(dayinjan, LT))

p2 + geom_point(aes(colour = factor(yearinjan), size=2)+ stat_smooth(method="lm", se=FALSE) + ylab("Total Lenght") + xlab("Days") + ggtitle(bquote(atop(.("January")))) + theme_bw() + scale_x_continuous(breaks=seq(1,31,by=5)) + scale_y_continuous(breaks=seq(42,56,by=2)) +theme(legend.title=element_blank(), plot.title = element_text(lineheight=.8, face="bold"), panel.grid.major=element_blank(), panel.grid.minor=element_blank(), legend.position="bottom")

You can find figures attached.

First problem, I want my dots size = 2 . But I don't want this information appears in the legend, like this code does. How can I do ?

Second one, because yearindec=4 and yearinjan=3, colours are not the same for the same year in both of my graphs. I want to standardize that (same colour for same year, even if a year is missing in one graph). How can I do ?

Third one, colours are currently random. How can I choose them ? For exemple scale of blue.

Waiting for news from you

Thank you !

Decembre.jpeg

Janvier.jpeg

Brandon Hurr

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May 7, 2015, 3:54:00 PM5/7/15

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First problem, I want my dots size = 2 . But I don't want this information appears in the legend, like this code does. How can I do ?

Put size outside of aes()

geom_point(aes(colour = factor(yearindec)), size=2) + ...

Second one, because yearindec=4 and yearinjan=3, colours are not the same for the same year in both of my graphs. I want to standardize that (same colour for same year, even if a year is missing in one graph). How can I do ?

Third one, colours are currently random. How can I choose them ? For exemple scale of blue.

?scale_colour_manual

Set your own colors to each factor level so they are standard across your plots. See the examples in the help page.

julienhi...@gmail.com

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May 7, 2015, 5:15:37 PM5/7/15

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Thank you for answering.

First problem, I want my dots size = 2 . But I don't want this information appears in the legend, like this code does. How can I do

Put size outside of aes()

geom_point(aes(colour = factor(yearindec)), size=2) + ...

This does not work. I've tried before asking. An tried again :)

Second one, because yearindec=4 and yearinjan=3, colours are not the same for the same year in both of my graphs. I want to standardize that (same colour for same year, even if a year is missing in one graph). How can I do ?

Third one, colours are currently random. How can I choose them ? For exemple scale of blue.

?scale_colour_manual

Set your own colors to each factor level so they are standard across your plots. See the examples in the help page.

This works perfectly. Thanks !

Brandon Hurr

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May 7, 2015, 5:22:37 PM5/7/15

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Can you create a reproducible example to go with your code for your first problem? Putting size in aes() usually adds a legend that is non-sensical (it's supposed to do that).

See the bottom of this email for a link on creating a reproducible example.

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julienhi...@gmail.com

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May 7, 2015, 5:42:51 PM5/7/15

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Here is my reproducible example:

require(ggplot2)

data8 <- structure(list(Date = structure(c(18607, 18607, 18608, 18608,

18608, 18608, 18610, 18610, 18610, 18610, 18610, 18610, 18610,

18610, 18610, 18610, 18610, 18610, 18610, 18610, 18610, 18610,

18611, 18611, 18611, 18611, 18611, 18611, 18611, 18611, 18611,

18611, 18611, 18611, 18612, 18612, 18612, 18612, 18612, 18612,

18612, 18612, 18612, 18612, 18612, 18612, 18612, 18612, 18612,

18612, 18612, 18612, 18612, 18612, 18612, 18613, 18613, 18613,

18613, 18613, 18613, 18613, 18613, 18613, 18613, 18613, 18613,

18613, 18613, 18613, 18614, 18614, 18614, 18614, 18614, 18614,

18614, 18614, 18614, 18614, 18614, 18614, 18614, 18614, 18614,

18614, 18614, 18614, 18614, 18614, 18614, 18615, 18615, 18615,

18615, 18615, 18615, 18615, 18615, 18615, 18615, 18615, 18615,

18615, 18616, 18616, 18616, 18616, 18616, 18616, 18616, 18616,

18616, 18616, 18616, 18616, 18616, 18616, 18616, 18616, 18616,

18616, 18616, 18617, 18617, 18617, 18617, 18617, 18617, 18617,

18617, 18617, 18617, 18617, 18617, 18617, 18617, 18617, 18617,

18617, 18617, 18617, 18617, 18617, 18617, 18618, 18618, 18618,

18618, 18618, 18618, 18618, 18618, 18618, 18618, 18618, 18618,

18618, 18618, 18618, 18618, 18618, 18618, 18618, 18619, 18619,

18619, 18619, 18619, 18619, 18619, 18619, 18619, 18619, 18619,

18619, 18619, 18619, 18619, 18619, 18619, 18619, 18619, 18620,

18620, 18620, 18620, 18620, 18620, 18620, 18620, 18620, 18621,

18621, 18621, 18621, 18621, 18621, 18621, 18621, 18621, 18621,

18621, 18621, 18621, 18621, 18622, 18622, 18622, 18622, 18623,

18624, 18624, 18625, 18625, 18625, 18625, 18625, 18626, 18626,

18626, 18626, 18626, 18626, 18627, 18627, 18627, 18597, 18597,

18597, 18597, 18598, 18598, 18599, 18599, 18599, 18599, 18599,

18599, 18599, 18599, 18599, 18599, 18599, 18599, 18599, 18599,

18599, 18599, 18599, 18599, 18599, 18600, 18600, 18600, 18600,

18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600,

18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600, 18601,

18601, 18601, 18601, 18601, 18601, 18601, 18601, 18601, 18601,

18601, 18601, 18601, 18601, 18601, 18601, 18601, 18601, 18602,

18602, 18602, 18602, 18602, 18602, 18602, 18602, 18602, 18602,

18602, 18602, 18602, 18602, 18602, 18603, 18603, 18603, 18603,

18603, 18603, 18603, 18603, 18603, 18603, 18603, 18603, 18603,

18603, 18603, 18603, 18603, 18604, 18604, 18604, 18604, 18604,

18604, 18604, 18604, 18604, 18604, 18604, 18604, 18604, 18604,

18604, 18604, 18604, 18604, 18605, 18605, 18605, 18605, 18605,

18605, 18605, 18605, 18605, 18605, 18605, 18605, 18605, 18605,

18606, 18606, 18606, 18606, 18606, 18606, 18606, 18606, 18606,

18606, 18606, 18606, 18606, 18606, 18606, 18606, 18606, 18607,

18607, 18607, 18607, 18607, 18607, 18607, 18607, 18607, 18607,

18607, 18607, 18607, 18607, 18607, 18607, 18607, 18607, 18608,

18608, 18608, 18608, 18608, 18608, 18608, 18608, 18608, 18608,

18608, 18608, 18608, 18608, 18608, 18608, 18609, 18609, 18609,

18609, 18609, 18610, 18610, 18610, 18610, 18610, 18610, 18610,

18610, 18610, 18610, 18610, 18610, 18610, 18610, 18610, 18610,

18610, 18610, 18610, 18610, 18611, 18611, 18611, 18611, 18611,

18611, 18611, 18611, 18611, 18611, 18611, 18611, 18611, 18611,

18611, 18613, 18613, 18613, 18613, 18613, 18613, 18613, 18613,

18613, 18613, 18613, 18613, 18613, 18613, 18613, 18613, 18613,

18613, 18613, 18613, 18613, 18613, 18614, 18614, 18614, 18614,

18614, 18614, 18615, 18615, 18615, 18615, 18615, 18615, 18615,

18616, 18616, 18616, 18616, 18616, 18616, 18616, 18616, 18617,

18617, 18617, 18617, 18617, 18618, 18619, 18619, 18620, 18620,

18620, 18597, 18597, 18597, 18597, 18597, 18597, 18597, 18597,

18597, 18597, 18597, 18597, 18597, 18597, 18597, 18597, 18598,

18598, 18598, 18598, 18598, 18598, 18599, 18600, 18600, 18600,

18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600,

18600, 18600, 18600, 18600, 18600, 18600, 18600, 18600, 18601,

18601, 18601, 18601, 18601, 18601, 18601, 18601, 18601, 18601,

18601, 18601, 18601, 18601, 18605, 18605, 18605, 18605, 18605,

18605, 18605, 18605, 18605, 18605, 18606, 18606, 18606, 18606,

18606, 18606, 18606, 18606, 18606, 18606, 18606, 18606, 18606,

18607, 18607, 18607, 18607, 18607, 18607, 18607, 18607, 18607,

18607, 18607, 18607, 18607, 18607, 18607, 18607, 18608, 18608,

18608, 18608, 18608, 18624, 18624, 18624, 18624, 18624, 18624,

18624, 18624, 18624, 18624, 18624, 18624, 18624, 18624, 18624,

18624, 18624, 18624, 18624, 18624, 18625, 18625, 18626, 18626,

18626, 18626, 18626, 18626, 18626, 18626, 18626, 18626, 18626,

18626, 18627), class = "Date"), Nb = c(1L, 2L, 1L, 2L, 3L, 4L,

1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,

28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L,

41L, 42L, 43L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,

12L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L,

14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,

27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 37L, 38L, 39L, 40L,

1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,

18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,

31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L,

44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L,

57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L,

70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L,

83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L,

96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L,

107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L, 117L,

118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L,

129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L, 139L,

140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L, 150L,

151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L, 161L,

162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L,

173L, 174L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L,

13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,

18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,

31L, 32L, 33L, 34L, 35L, 36L, 37L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,

8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,

21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,

34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L,

47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L,

60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L,

73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L,

86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L,

99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L,

110L, 111L, 112L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L,

12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L,

7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L,

20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L,

33L, 34L, 35L, 36L, 37L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,

1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

1L, 2L, 3L, 4L, 1L, 1L, 2L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L,

5L, 6L, 1L, 2L, 3L, 1L, 2L, 3L, 4L, 2L, 1L, 1L, 4L, 5L, 6L, 7L,

8L, 9L, 10L, 11L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 21L, 22L,

24L, 27L, 28L, 2L, 12L, 20L, 23L, 25L, 26L, 3L, 1L, 2L, 3L, 4L,

5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L,

19L, 20L, 21L, 22L, 24L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,

34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L,

47L, 48L, 25L, 23L, 1L, 3L, 4L, 5L, 6L, 7L, 9L, 10L, 11L, 12L,

13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L,

26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 2L, 8L,

1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 10L, 11L, 12L, 13L, 14L, 15L,

16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,

29L, 30L, 31L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L,

43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L,

56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L,

69L, 70L, 71L, 72L, 73L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L,

83L, 84L, 85L, 87L, 9L, 74L, 86L, 32L, 1L, 2L, 3L, 4L, 5L, 6L,

7L, 8L, 9L, 10L, 11L, 13L, 14L, 15L, 16L, 17L, 18L, 20L, 21L,

22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L,

35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L,

48L, 49L, 50L, 51L, 52L, 53L, 12L, 19L, 1L, 2L, 4L, 5L, 6L, 7L,

8L, 9L, 10L, 12L, 13L, 14L, 15L, 16L, 18L, 19L, 20L, 21L, 22L,

23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L,

36L, 11L, 17L, 3L, 128L, 88L, 131L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,

8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,

21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 30L, 31L, 32L, 33L, 34L,

35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 48L,

49L, 50L, 51L, 52L, 53L, 54L, 56L, 57L, 58L, 59L, 60L, 61L, 62L,

63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 75L, 76L,

77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 89L, 90L,

91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L,

103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 113L, 114L,

115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L, 125L, 126L,

127L, 129L, 130L, 29L, 47L, 55L, 74L, 112L, 124L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 12L, 13L, 15L, 16L, 17L, 18L, 19L,

21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,

34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 11L, 14L,

20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 10L, 11L, 14L, 15L, 16L,

17L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L,

31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 41L, 42L, 43L, 44L,

45L, 46L, 47L, 48L, 50L, 51L, 53L, 54L, 55L, 56L, 57L, 58L, 59L,

60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L,

73L, 74L, 75L, 76L, 77L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L,

87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L,

101L, 102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L,

112L, 113L, 115L, 116L, 117L, 5L, 13L, 18L, 40L, 52L, 78L, 100L,

114L, 12L, 49L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 10L, 11L, 12L,

13L, 14L, 15L, 16L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L,

27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L,

40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L,

53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L,

66L, 67L, 68L, 69L, 70L, 71L, 72L, 74L, 75L, 76L, 77L, 79L, 80L,

81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L,

94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 104L, 106L, 107L,

108L, 110L, 111L, 112L, 114L, 115L, 9L, 17L, 73L, 103L, 105L,

109L, 113L, 78L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 6L,

7L, 8L, 9L, 10L, 11L, 12L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,

21L, 22L, 23L, 24L, 25L, 26L, 27L, 29L, 30L, 31L, 32L, 33L, 34L,

35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L,

48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L,

61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 74L,

75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L,

88L, 89L, 91L, 92L, 93L, 95L, 96L, 97L, 98L, 99L, 100L, 101L,

102L, 103L, 104L, 105L, 106L, 107L, 108L, 109L, 110L, 111L, 112L,

113L, 114L, 115L, 116L, 117L, 118L, 119L, 120L, 121L, 122L, 123L,

124L, 125L, 126L, 127L, 128L, 129L, 130L, 131L, 133L, 134L, 135L,

136L, 137L, 138L, 139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L,

147L, 148L, 149L, 150L, 152L, 153L, 154L, 155L, 156L, 157L, 158L,

159L, 160L, 161L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L,

171L, 172L, 173L, 174L, 175L, 176L, 177L, 178L, 180L, 181L, 183L,

185L, 186L, 187L, 188L, 190L, 191L, 192L, 193L, 194L, 195L, 196L,

197L, 198L, 199L, 200L, 13L, 28L, 73L, 90L, 94L, 151L, 162L,

179L, 182L, 184L, 189L, 132L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,

9L, 10L, 11L, 12L, 13L, 14L, 16L, 18L, 19L, 20L, 21L, 22L, 23L,

24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L,

37L, 38L, 39L, 40L, 41L, 42L, 15L, 17L, 1L, 2L, 3L, 4L, 5L, 6L,

7L, 8L, 9L, 10L, 11L, 12L, 14L, 15L, 16L, 17L, 18L, 19L, 20L,

21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,

34L, 35L, 36L, 37L, 38L, 39L, 41L, 42L, 43L, 44L, 45L, 46L, 47L,

48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L,

61L, 62L, 63L, 64L, 65L, 66L, 13L, 40L, 67L, 1L, 2L, 3L, 4L,

5L, 6L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,

8L, 1L, 3L, 4L, 5L, 2L, 1L, 1L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 4L,

5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 1L, 2L,

3L, 4L, 5L, 6L, 1L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L,

11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,

9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,

22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 1L, 2L, 3L,

4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L,

18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 1L, 2L, 3L, 4L, 5L, 1L,

2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L,

16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L,

29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L,

42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L,

55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L,

68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L,

81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L,

94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L,

106L, 107L, 108L, 109L, 110L, 111L, 112L, 113L, 114L, 115L, 116L,

117L, 118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L,

128L, 129L, 130L, 131L, 132L, 133L, 134L, 135L, 136L, 137L, 138L,

139L, 140L, 141L, 142L, 143L, 144L, 145L, 146L, 147L, 148L, 149L,

150L, 151L, 152L, 153L, 154L, 155L, 156L, 157L, 158L, 159L, 160L,

161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L,

172L, 173L, 174L, 175L, 176L, 177L, 178L, 179L, 180L, 181L, 182L,

183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L,

194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 203L, 204L,

205L, 206L, 207L, 208L, 209L, 210L, 211L, 212L, 213L, 214L, 215L,

216L, 217L, 218L, 219L, 220L, 221L, 222L, 223L, 224L, 225L, 226L,

227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 1L,

2L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L,

28L, 29L, 30L, 1L), LT = c(50, 50, 55, 52, 49, 48, 51, 52, 49,

50, 49, 55, 53, 50, 49, 55, 51, 51, 52, 52, 52, 50, 52, 50, 54,

49, 50, 51, 53, 55, 51, 50, 51, 52, 53, 53, 51, 49, 47, 52, 50,

49, 52, 51, 52, 53, 52, 50, 48, 53, 50, 47, 49, 51, 52, 52, 51,

49, 43, 50, 45, 53, 51, 53, 49, 51, 49, 50, 45, 49, 52, 50, 50,

53, 51, 51, 49, 51, 50, 50, 49, 50, 49, 50, 52, 51, 51, 50, 50,

51, 54, 53, 50, 52, 50, 51, 48, 52, 49, 46, 50, 49, 50, 50, 52,

50, 52, 51, 52, 50, 51, 50, 50, 48, 48, 50, 50, 50, 51, 50, 49,

50, 47, 51, 50, 51, 50, 49, 50, 49, 50, 52, 52, 53, 51, 50, 51,

50, 52, 52, 49, 51, 50, 51, 50, 50, 54, 50, 51, 48, 51, 52, 51,

51, 50, 52, 52, 54, 48, 49, 50, 52, 53, 52, 52, 52, 51, 51, 52,

51, 51, 50, 51, 51, 52, 53, 52, 51, 49, 50, 53, 50, 50, 51, 54,

50, 52, 52, 53, 51, 52, 52, 52, 51, 51, 51, 49, 50, 51, 49, 50,

50, 50, 51, 50, 53, 51, 53, 52, 50, 48, 48, 47, 50, 50, 50, 50,

50, 50, 49, 52, 53, 49, 46, 50, 50, 51, 50, 50, 53, 50, 50, 53,

51, 52, 50, 50, 48, 51, 48, 49, 50, 51, 48, 52, 51, 49, 50, 50,

51, 51, 53, 49, 51, 51, 48, 49, 49, 48, 49, 50, 47, 52, 50, 51,

49, 50, 46, 49, 50, 50, 50, 50, 48, 48, 52, 50, 50, 53, 53, 47,

48, 51, 50, 46, 49, 50, 50, 52, 50, 45, 46, 50, 47, 46, 48, 49,

48, 51, 47, 50, 43, 44, 47, 47, 48, 42, 49, 49, 46, 50, 46, 45,

49, 46, 47, 51, 47, 49, 47, 46, 48, 45, 47, 49, 49, 49, 50, 49,

48, 51, 48, 47, 49, 47, 48, 48, 47, 48, 46, 48, 46, 48, 44, 48,

49, 48, 46, 46, 49, 45, 48, 49, 44, 49, 47, 50, 52, 50, 48, 49,

48, 52, 48, 51, 47, 48, 51, 45, 49, 51, 49, 50, 51, 49, 49, 47,

51, 49, 49, 51, 51, 50, 53, 48, 48, 46, 51, 49, 50, 47, 50, 53,

49, 51, 50, 48, 49, 48, 48, 48, 49, 49, 51, 49, 50, 50, 51, 49,

48, 49, 49, 52, 51, 48, 50, 50, 49, 52, 50, 50, 51, 50, 51, 48,

50, 50, 51, 52, 51, 51, 48, 50, 47, 49, 50, 48, 49, 50, 51, 50,

51, 50, 50, 50, 50, 48, 51, 52, 52, 51, 46, 50, 51, 52, 50, 49,

50, 48, 50, 49, 48, 49, 51, 49, 51, 45, 48, 43, 50, 52, 52, 51,

50, 54, 49, 50, 50, 52, 50, 51, 49, 53, 52, 50, 49, 51, 53, 50,

48, 49, 50, 48, 51, 50, 52, 48, 48, 52, 51, 52, 49, 52, 50, 50,

53, 52, 52, 52, 52, 49, 53, 50, 51, 51, 51, 49, 50, 53, 50, 52,

50, 52, 51, 51, 49, 51, 51, 50, 51, 51, 50, 50, 49, 51, 51, 50,

50, 51, 52, 51, 51, 51, 50, 50, 50, 48, 50, 49, 54, 51, 47, 48,

48, 50, 55, 51, 50, 50, 50, 49, 52, 49, 51, 50, 51, 46, 51, 49,

50, 51, 50.5, 50, 52, 49, 52, 52, 53, 50, 53, 51, 51, 52, 53,

51, 51, 53, 53, 52, 50, 50, 53, 50, 52, 51, 51.5, 54, 50, 49.5,

48, 51, 47, 51, 45, 52, 51, 51, 52, 51, 51, 51, 51, 51, 51, 53.5,

52, 50, 53, 55, 50, 49, 52, 52, 53, 51, 52, 52, 53, 52, 50, 51,

51.5, 51, 51, 53.5, 52, 53, 53, 50, 51, 50, 51, 49.5, 50, 50,

51, 51, 51, 51, 50.5, 54, 52, 53, 52, 52, 52, 51, 50, 50, 55,

50, 53, 51, 53, 51, 52, 50, 50, 51, 51, 52, 52, 50, 51, 51, 53,

50, 52, 51, 51, 49.5, 51, 50, 51, 50, 52, 52, 52, 51, 50, 52,

47, 47, 52, 51, 50, 52, 51, 51, 51, 50, 51.5, 51, 51, 52, 51.5,

51, 54, 52, 51.5, 51, 52, 52, 51, 51, 52, 52, 51, 52, 50, 52.5,

53.5, 52.5, 51, 51, 52, 50.5, 50.5, 52, 51, 53, 51.5, 51.5, 49,

52, 48.5, 51.5, 50.5, 52, 54, 53, 51, 52, 50, 51.5, 51, 53, 52,

52.5, 51, 52.5, 52, 52.5, 52, 53.5, 52, 52.5, 53, 53, 53, 53.5,

52, 52, 54, 54, 53, 55, 55, 50, 53, 50, 54, 52, 51, 50, 50, 52,

50, 51, 52, 51, 51, 51.5, 52, 51, 51, 51, 51, 50, 49, 51.5, 51,

51, 51, 50.5, 52, 51, 51, 50, 53, 52.5, 54, 51, 51.5, 51, 53,

51, 52, 52, 50, 51, 51, 50.5, 50.5, 53, 51, 50.5, 53, 50, 50,

51, 53.5, 49.5, 53, 53, 48.5, 54, 51, 48, 50, 49.5, 50, 49.5,

52, 49, 51, 51, 51, 52, 50, 50, 52, 52, 51, 51, 52, 51, 52, 49.5,

52, 53, 52, 51.5, 49.5, 50, 53.5, 51.5, 52, 51, 50, 54, 50, 51,

48, 48.5, 49, 50.5, 51.5, 49, 50.5, 50, 51, 50, 50, 51.5, 52,

50, 51, 51.5, 49, 51, 53, 51, 50, 50.5, 50, 51, 50, 48, 50, 51.5,

50, 51.5, 51, 51.5, 49, 51.5, 51, 51, 48.5, 51, 50, 50, 50.5,

50, 49, 51, 52, 50, 53, 53, 53, 52.5, 53, 52, 53, 52, 51, 50,

51, 47.5, 52, 50.5, 51, 52, 51.5, 51, 52, 51.5, 52.5, 48, 51,

47, 48, 49, 48, 47, 48, 48, 49, 47, 47, 48, 46, 44, 47, 50, 49,

52.5, 48, 48, 50, 43, 49, 50, 48, 48, 47, 47, 47, 47, 47, 46.5,

48.5, 50, 46.5, 47.5, 46, 45, 48, 47, 46, 49, 49, 50, 48, 45.5,

46.5, 47, 46, 45.5, 46, 46, 48, 48.5, 47, 47, 47, 52.5, 51, 51,

50, 50, 49, 54, 49, 53, 52, 51, 52, 53.5, 53.5, 54, 51, 54.5,

52, 52.5, 53, 49, 52, 49.5, 50, 54, 52, 50, 52.5, 49, 52, 52,

51, 54, 52.5, 53, 50, 52.5, 50.5, 51.5, 53, 53, 52, 53, 53, 50,

52, 52, 53, 50, 49.5, 52, 54, 50, 50.5, 51, 50, 48.5, 53.5, 50,

48.5, 53, 54, 51, 49, 52.5, 50, 51, 50, 50, 53, 50, 51, 52, 55.5,

50, 50, 54, 53.5, 51, 49, 52, 52, 52, 53.5, 54, 50, 49, 48, 52,

52, 52.5, 51, 51, 53, 52, 52, 52, 51, 52, 49, 55.5, 53, 49.5,

53, 52.5, 51, 49.5, 53, 51, 52.5, 52, 51, 51, 53.5, 50, 53, 51,

53, 52.5, 51, 52, 52.5, 53.5, 51.5, 53, 53.5, 51, 53.5, 52, 49.5,

50, 52.5, 52.5, 49.5, 54, 52, 52.5, 52, 54.5, 53, 50, 51, 50,

52, 54, 51, 52.5, 51.5, 53, 51.5, 52, 52, 53.5, 49.5, 50, 54,

54, 50.5, 52, 48, 53.5, 52.5, 55, 51, 55, 50.5, 52, 47, 50, 50.5,

50, 50, 55, 50, 50.5, 52, 52, 53.5, 49.5, 51, 53, 50, 53, 52,

51, 50, 51, 51.5, 50.5, 51, 50, 50, 54, 50, 51.5, 53.5, 51.5,

50, 51.5, 50, 51.5, 52, 50, 46.5, 49, 54, 51, 53, 51, 50.5, 50.5,

53, 51, 51.5, 49, 50, 51, 51, 50, 52, 51, 51, 53, 49.5, 53, 51,

53, 53, 50, 51, 51, 55, 53.5, 52, 51.5, 52, 54, 53, 51, 54, 50,

50, 52.5, 51, 52.5, 52, 53, 52.5, 50.5, 51, 51.5, 52.5, 53.5,

51, 52.5, 51, 53, 50.5, 53, 51, 49, 52, 52.5, 52, 51.5, 51.5,

49, 51.5, 50.5, 50, 50, 48, 50, 54, 50, 52, 52.5, 50.5, 52, 51,

53, 52, 49, 50.5, 45, 49.5, 49.5, 53, 52, 50.5, 50, 53.5, 51.5,

50.5, 51, 52, 50, 51, 50.5, 50, 53, 50, 51, 49.5, 50, 53, 53,

52, 51.5, 49, 52, 51, 49, 52, 48, 51, 51, 53, 51, 52.5, 51.5,

51, 52, 53, 51, 50, 50.5, 52, 51, 51, 55, 49, 51.5, 53, 52, 54,

51.5, 54, 53, 53, 51, 51, 52, 52, 54, 50, 53, 53, 50, 52.5, 53,

51, 53, 52.5, 49.5, 54, 53, 52, 52, 53, 49, 53, 52.5, 54, 54,

50, 51.5, 51, 52, 50.5, 51.5, 48.5, 51, 54.5, 52.5, 50.5, 53,

52, 52, 52.5, 54, 50, 53, 51.5, 53, 56, 49.5, 53.5, 55, 51, 51,

51.5, 53.5, 50, 50, 52.5, 52, 52, 54, 50.5, 50, 52, 53, 53.5,

52, 53, 52, 52.5, 53, 51, 52.5, 50.5, 52, 52.5, 52, 55, 53, 53,

51.5, 55.5, 54, 53, 54.5, 52.5, 50, 53, 53, 53, 52, 53, 53, 49.5,

53, 52, 53, 52, 52, 50, 51, 50, 52.5, 54.5, 51.5, 52.5, 50, 50.5,

50, 52, 51, 53, 52, 51.5, 52.5, 51, 54.5, 53, 50.5, 52, 50, 49.5,

53, 52, 52, 51, 52.5, 50, 52, 53, 49, 52, 54.5, 54, 53.5, 49,

54, 52, 50.5, 51, 54.5, 51, 50, 52, 54.5, 54, 52, 53, 49, 50,

51, 51, 53.5, 47, 51, 50.5, 51, 50, 53, 52, 52, 50, 48, 50, 53,

52, 48.5, 51, 49.5, 52.5, 53, 49, 49, 54, 53, 55, 51, 52, 50,

52.5, 50, 50, 52, 49.5, 51.5, 53, 52, 50, 51.5, 50.5, 50.5, 51,

52, 53, 51.5, 52.5, 52, 49, 50, 52, 49, 53, 51, 52, 51, 52.5,

53.5, 51, 51, 51, 52, 50, 52, 50.5, 52, 48, 52, 51.5, 52.5, 52,

52, 50, 53, 50, 51, 50, 49, 49, 48, 52, 54, 52, 51, 52, 52, 55,

49.5, 51, 51.5, 56, 50, 52, 53, 53, 53, 52, 51, 50, 48, 51, 50.5,

51, 50, 51, 49.5, 53, 51, 55, 49, 48, 49, 49, 49, 49, 47, 51,

52, 49, 50.5, 52, 50, 53, 51, 51, 51, 50, 52.5, 51, 53, 50, 47,

48, 51.5, 51, 50.5, 49.5, 51, 50.5, 51, 52, 51, 50, 51, 51, 50,

49, 51, 53, 50, 51, 50, 51, 49, 51, 52, 51, 51, 51, 49, 51, 51,

51, 50, 50, 50, 50, 50, 50, 52, 48, 52, 49, 49, 51, 51, 51, 51,

50, 48, 50, 49, 48, 51, 50, 47, 51, 51, 52, 53, 52, 54, 50, 52,

52, 52, 53, 51, 51, 50, 49, 50, 51, 50, 52, 50.5, 51, 51, 50,

50, 52, 51, 50, 51, 50, 51.5, 50.5, 51, 51, 51, 50, 50, 50, 50.5,

50, 50, 49, 50.5, 51, 51, 50, 50.5, 50, 49, 50, 50.5, 50, 51.5,

50.5, 50, 51.5, 52, 50, 50.5, 50, 50.5, 52, 50, 50.5, 49, 50,

50.5, 51, 49.5, 51, 51, 51, 49, 50, 50.5, 49, 51, 50, 50.5, 49.5,

50, 50, 50, 49, 52, 52, 51, 54, 49, 50, 53, 50, 50, 54, 50, 50,

50, 49, 50, 50, 50, 51, 50, 52, 49, 52, 48, 48, 49, 53, 50, 52,

53, 52, 52, 51, 50, 52, 49, 50, 52, 50, 50, 49, 51, 54, 48, 50,

50.5, 50, 49, 49, 52, 51, 51, 48, 50, 53, 50, 51, 51, 52.5, 50,

51, 49, 53, 52.5, 50, 52, 53, 52, 51, 50.5, 51, 50, 52, 51, 47.5,

50, 52, 50, 50, 49, 53, 49.5, 49, 51.5, 50.5, 50.5, 50, 48, 50.5,

50, 50, 49, 48, 50, 54, 52, 52, 52, 48, 49, 52, 54, 49, 49, 54,

51, 53, 53, 47, 51, 52, 49, 49.5, 50, 52, 49, 52, 50, 50, 51,

48, 52, 49, 50, 54, 51, 51, 50, 48, 52, 52, 48, 48, 52, 50, 49,

48, 48, 49, 49, 48, 49, 52, 51, 49, 50, 50, 50, 51, 50, 48, 52,

52, 50, 49, 48, 50, 48, 50, 51, 52, 50, 49, 48, 48, 50, 50, 50,

52, 50, 50, 49, 50, 53, 50, 50, 49, 52, 51, 50, 50, 49, 52, 52,

51, 50, 48, 51, 49, 52, 52, 50, 48, 49, 50, 51, 48, 49, 52, 50,

51, 48, 49, 50, 49, 50, 50, 50, 50, 51, 48, 52, 50, 52, 51, 47,

49, 52, 50, 52, 52, 48, 52, 49, 49, 50, 52, 51, 50, 49, 48, 49,

51, 51, 51, 50, 50, 51, 48, 52, 52, 52, 52, 46, 52, 51, 48, 53,

53, 51, 51, 51, 54, 52, 52, 46, 51, 52, 51, 51, 50, 52, 52, 49,

52, 52, 53, 52, 51, 50), X = c(NA, NA, NA, NA, NA, NA, NA, NA,

NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,

NA, NA, NA, NA, NA), Mois = structure(c(1L, 1L, 1L, 1L, 1L, 1L,

1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,

1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = "Decembre", class = "factor")), .Names = c("Date",

"Nb", "LT", "X", "Mois"), row.names = c(NA, -2013L), class = "data.frame")

data8[[1]] <- as.Date(data8[[1]], format="%d/%m/%y")

data8$LT <- as.numeric(levels(data8$LT))[data8$LT]

month<-as.numeric(format(data2$Date, "%m"))

day<-as.numeric(format(data2$Date, "%d"))

year<-as.numeric(format(data2$Date, "%Y"))

dec<-data2[which(month==12),]

dayindec<-day[which(month==12)]

yearindec<-year[which(month==12)]

p <- ggplot(dec, aes(dayindec, LT))

p + geom_point(aes(colour = factor(yearindec), size=2)) + scale_colour_manual(values = c("2009" = "grey1","2010" = "grey25","2013" = "grey50", "2014"="grey75")) + stat_smooth(method="lm", se=FALSE, size=1, colour="black") + ylab("Total Lenght") + xlab("Days") + ggtitle(bquote(atop(.("December")))) + theme_bw() + scale_x_continuous(breaks=seq(1,31,by=5)) + scale_y_continuous(breaks=seq(42,56,by=2)) + theme(legend.title=element_blank(), plot.title = element_text(lineheight=.8, face="bold"), panel.grid.major=element_blank(), panel.grid.minor=element_blank(), legend.position="bottom")

Hope it helps

Thanks

Brandon Hurr

unread,

May 7, 2015, 6:34:44 PM5/7/15

to julienhi...@gmail.com, ggplot2

Julien,

I'm sorry, but that's not reproducible.

your data is called data8, but you're referencing data2. Then your doing manipulations outside of your dataframe and using those as variables in your plot (which I'm surprised works at all without using qplot). Then your manipulations cause the LT variable to be all NAs, which plots nothing (see warning below). Lastly, your dates are all 2020 and your scale is using 2009-2014.

Warning messages:

1: In loop_apply(n, do.ply) :

Removed 2013 rows containing missing values (stat_smooth).

2: In loop_apply(n, do.ply) :

Removed 2013 rows containing missing values (geom_point).

Could you try again?

julienhi...@gmail.com

unread,

May 7, 2015, 7:40:30 PM5/7/15

to ggp...@googlegroups.com, julienhi...@gmail.com

Okay, my bad. I did a mistake with data sets.

That is my code :

require(ggplot2)

####Loading database####

data2 <- read.table("Taille fct tps.csv", header=T, sep=";", dec = ",", strip.white=T)

data2[[1]] <- as.Date(data2[[1]], format="%d/%m/%Y")

data2$LT <- as.numeric(levels(data2$LT))[data2$LT]

month<-as.numeric(format(data2$Date, "%m"))

day<-as.numeric(format(data2$Date, "%d"))

year<-as.numeric(format(data2$Date, "%Y"))

####Decembre

dec<-data2[which(month==12),]

dayindec<-day[which(month==12)]

yearindec<-year[which(month==12)]

p <- ggplot(dec, aes(dayindec, LT))

Please find attached my data set, there are too many datas for R console

It should work now.

Thanks you

Taille fct tps.csv

Brandon Hurr

unread,

May 7, 2015, 9:51:48 PM5/7/15

to julienhi...@gmail.com, ggplot2

Julien,

The first answer is still you have to take the size=2 out of aes() and it looks like you figured out the scale color pretty well, but your gray scale is hard to decipher.

ggplot(dec, aes(dayindec, LT)) +

geom_point(aes(colour = factor(yearindec)), size=2) +

scale_colour_manual(values = c("2009" = "grey1","2010" = "grey25","2013" = "grey50", "2014"="grey75")) +

stat_smooth(method="lm", se=FALSE, size=1, colour="black") +

ylab("Total Length") +

xlab("Days") +

ggtitle(bquote(atop(.("December")))) +

theme_bw() +

scale_x_continuous(breaks=seq(1,31,by=5)) +

scale_y_continuous(breaks=seq(42,56,by=2)) +

theme(legend.title=element_blank(), plot.title = element_text(lineheight=.8, face="bold"), panel.grid.major=element_blank(), panel.grid.minor=element_blank(), legend.position="bottom")

HTH

--

ok.png

julienhi...@gmail.com

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May 7, 2015, 11:43:28 PM5/7/15

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I'm still sorry but your dots are no longer 2 sized ...

Brandon Hurr

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May 7, 2015, 11:44:55 PM5/7/15

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They are. That's at 150 dpi.

On Thu, May 7, 2015 at 20:44 <julienhi...@gmail.com> wrote:

I'm still sorry but your dots are no longer 2 sized ...

julienhi...@gmail.com

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May 8, 2015, 12:45:29 AM5/8/15

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I don't understand.

Look at your graph, look at mine, huge difference

Brandon Hurr

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May 8, 2015, 12:50:06 AM5/8/15

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If you are happy with it, that's all that matters. I set the DPI on my output device higher than normal so things come out a bit small. When you run the code, does the size 2 legend disappear?

Are you having other issues with your plot?

On Thu, May 7, 2015 at 21:45 <julienhi...@gmail.com> wrote:

I don't understand.
Look at your graph, look at mine, huge difference

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julienhi...@gmail.com

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May 8, 2015, 12:54:41 AM5/8/15

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Okay.

No, I'm good now.

Thank you so much for your help !

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