View source: R/Equitable_Transform.R
plotsome | R Documentation |
Uses functions plotimages plotindiv plotO_S_E_lscol plotversus plot_vsref. The function plotsummary uses this function to summarize the transform data
plotsome( T, num = 5, signal = NULL, limits = NULL, xlimits = NULL, indiv = FALSE, columns = FALSE, images = TRUE, density = FALSE, versus = FALSE, xvsref = NULL, yline = 3, yma = 5, transpose = FALSE, of = FALSE, lf = FALSE, ef = TRUE, avef = FALSE, errb = FALSE, row_unit = NULL, col_unit = NULL, z_unit = NULL, genname = NULL, stderror = FALSE, fcontour = TRUE )
T |
equitable transform info: output from transformE |
num |
5 default number of indiviual plot to be made |
signal |
2D data set representing the signal. Must be the same size as T$smat |
limits |
default NULL limits on yaxis of plots and range for rainbow colouring in images |
xlimits |
default NULL limits on xaxis of plots |
indiv |
default FALSE: plots individual row or column dependendent on transpose flag |
columns |
default FALSE TRUE:plot all columns on one plot |
images |
default TRUE: plots false colour images |
density |
ignore |
versus |
plots all individual vs reference default FALSE: |
xvsref |
column to be used as reference against which all others are plotted default NULL |
yline |
default 3 lines out from plot to display yaxis values |
yma |
default 5 cahracters out from plot to display ylabel |
transpose |
default FALSE TRUE: plot all rows on one plot |
of |
according to above flags plots original data default FALSE |
lf |
according to above flags plots least squares transformdata default FALSE |
ef |
according to above flags plots equitable transform data default FALSE |
avef |
according to above flags plots equitbale transform data formed using only average profile default FALSE |
errb |
according to above flags uses error bars when possible default FALSE |
row_unit |
row axis label default Row Number |
col_unit |
column axis label default Row Number |
z_unit |
label for quantity measured in data |
genname |
main title to be included |
stderror |
according to above flags uses error bars of standard error rather than standard deviaiton when possible default FALSE |
fcontour |
default TRUE: plots contour maps |
None
d<-eg4(2,2) Td<-transformE(d) d_noise<-d+rnorm(prod(dim(d)),mean=0,sd=(1/4*sd(d,na.rm=TRUE))) Td_noise<-transformE(d_noise) plotsome(T=Td_noise,lf=TRUE,of=TRUE) # default only plots imagef of signal original and equitable plotsome(T=Td_noise,signal=Td$smat,of=TRUE) plotsome(T=Td_noise,signal=Td$smat,indiv=TRUE,xvsref=ncol(Td$smat)) plotsome(T=Td_noise,signal=Td$smat,columns=TRUE,images=FALSE, lf=TRUE,of=TRUE) plotsome(T=Td_noise,signal=Td$smat,columns=TRUE,images=FALSE, transpose=TRUE,lf=TRUE,of=TRUE) plotsome(T=Td_noise,signal=Td$smat,indiv=TRUE,of=TRUE,lf=TRUE) plotsome(T=Td_noise,signal=Td$smat,indiv=TRUE,of=TRUE,errb=TRUE) plotsome(T=Td_noise,signal=Td$smat,indiv=TRUE,of=TRUE,errb=TRUE,stderror=TRUE) #num= NULL all individuals are plotted plotsome(T=Td_noise,signal=Td$smat,indiv=TRUE,of=TRUE,num=NULL) # plots images and transforms vs original and signal plotsome(T=Td_noise,signal=Td$smat,of=TRUE,lf=TRUE,versus=TRUE)
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