boxMANA | R Documentation |
A simple boxplot function for bootstrap and jackknife resampled results of additive genetic, non-additive genetic, and maternal variance components.
boxMANA(comp, type = "perc", ymax = NULL, ymin = NULL, yunit = NULL, leg = "topright",
cex_ylab = 1, cex_yaxis = 1, cex_names = 1)
comp |
Data frame of bootstrap or jackknife resampling results. |
type |
Default is "perc" for percentage values of variance components. Other option is "raw" for raw values of variance components. |
ymax |
Maximum value of the y-axis. |
ymin |
Minimum value of the y-axis. |
yunit |
Unit increment of the y-axis. |
leg |
Position of the simple legend. |
cex_ylab |
Magnification of the y-axis label. |
cex_yaxis |
Magnification of the y-axis units. |
cex_names |
Optional magnification of trait labels. |
Plots an R boxplot. Uses an object produced by any of the bootstrap resampling functions, i.e. resampLmer, resampLmer2, resampLmer3, resampGlmer, resampGlmer2, and resampGlmer3. Or any of the jackknife resampling functions, i.e. JackLmer, JackLmer2, JackLmer3, JackGlmer, JackGlmer2, and JackGlmer3. Produces a simple legend.
##Import bootstrap resampled data model results
data(chinook_bootL) #Chinook salmon length
boxMANA(comp=chinook_bootL) #Default plot
boxMANA(comp=chinook_bootL,yunit=20,ymax=100,cex_ylab=1.3,leg="topleft")
##Group length and survival together in the same plot
data(chinook_bootS) #Chinook salmon survival
chinook_bootL$trait<- "length"; chinook_bootS$trait<- "survival"
comb_boot<- rbind(chinook_bootL[,-2],chinook_bootS) #remove 'tray'
comb_boot$trait<- as.factor(comb_boot$trait)
#
boxMANA(comp=comb_boot) #Default plot
boxMANA(comp=comb_boot,yunit=20,ymax=100,cex_ylab=1.3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.