Parameters |
N | Min | Max | Mean | St.Dev | 10% | 25% | 75% | 90% |
Dur | 1972 | 0.24 | 5.05 | 1.76 | 0.65 | 0.93 | 1.30 | 2.20 | 2.57 |
Fmin | 1972 | 63.24 | 69.87 | 65.24 | 1.28 | 63.75 | 64.26 | 66.12 | 67.20 |
Fmax | 1972 | 68.38 | 89.89 | 76.27 | 5.37 | 70.48 | 72.07 | 80.00 | 84.66 |
Fmean | 1972 | 64.52 | 73.62 | 67.68 | 1.74 | 65.48 | 66.33 | 68.90 | 70.07 |
Fk | 1972 | 64.00 | 73.73 | 68.47 | 2.08 | 65.84 | 66.95 | 69.87 | 71.43 |
Fc | 1972 | 63.24 | 69.87 | 65.63 | 1.43 | 63.75 | 64.52 | 66.67 | 67.80 |
Sc | 1972 | -493.66 | 774.11 | 78.53 | 83.90 | 11.53 | 28.32 | 103.02 | 166.00 |
Pmc | 1972 | 0.40 | 41.60 | 16.24 | 8.09 | 8.10 | 9.80 | 21.60 | 28.70 |
BatStats<- Deducer::descriptive.table (vars = d (Dur,Fmin,Fmax,Fmean,Fk,Fc,Sc,Pmc),data= BatStats,func.names =c("Valid N","Minimum","Maximum","Mean","St. Deviation","25th Percentile","75th Percentile"),func.additional= list(p10=function(x) quantile(x, c(0.10), na.rm=TRUE),p90=function(x) quantile(x, c(0.90), na.rm=TRUE)))
## Write the results Change output name and directory for stats.
write.csv(BatStats,file="C:\\=Bat data working\\Acoustic Parameters\\completed\\Myorip_Stats.csv") I also have data sets that are size parameters that include only 2 size measurements of the same species. I will try the merge from Data menu to see how well this works. What I need to do is use plot Builder to plot the echolocation call parameters (each min, max and mean) by size for each species as dots with the 10 and 90th percentile boundaries as lines for upper and lower bounds. My question is should I read in all of the summary tables (adding a column for Species ID) and merge with the size data or generate what is needed from the raw data tables anew? Trying melt-cast of the summary tables did not seem to get me very far. Thanks for any suggestions. Bruce