View source: R/Equitable_Transform.R
xvsrefplot | R Documentation |
Equitable transform with errors, original and Equitable transform line parameters can be shown If number of point in variable t is less than 26 then each t point is colured and labelled in the legend
xvsrefplot( Td, cgroup = NULL, ylim = NULL, ref = NULL, br = "", pf = TRUE, extranames = NULL, err95 = TRUE, fitl = TRUE )
Td |
transform information from transformE |
cgroup |
cgroup is the vector of columns to be plotted. Default NULL;10 colums across matrix are plotted |
ylim |
vector of min and max for plots to display default (NULL) function calculates same for all |
ref |
reference column against which all columns are plotted. Default NULL; column index with largest variation |
br |
text for headings of plots |
pf |
plotflag default TRUE |
extranames |
extra names to use for legend of t points |
err95 |
2*std. dev/sqrt(N) where std deviation on the slope is found when calculating equitable slopes Default=TRUE |
fitl |
Default TRUE. Fitted line is displayed |
column index with largest variation amongst columns that were plotted
#first construct transfor of data and transform of signal d<-eg4(1,2) d_noise<-d+rnorm(prod(dim(d)),mean=0,sd=(1/4*sd(d,na.rm=TRUE))) Td_noise<-transformE(d_noise) xvsrefplot(Td=Td_noise) xvsrefplot(Td=Td_noise,ref="Row_Ave") nc<-seq(1,ncol(Td_noise$smat), by=1) xvsrefplot(Td=Td_noise,cgroup=nc,ref=ncol(Td_noise$smat), br=paste0( "Equitable Profiles")) xvsrefplot(Td=Td_noise,cgroup=c(1,4,9,12),ref=7, br=paste0( "Equitable Profiles")) xvsrefplot(Td=Td_noise,cgroup=c(1,4,9,12),ref=7, br=paste0( "Equitable Profiles with std dev"),fitl=FALSE) xvsrefplot(Td=Td_noise,cgroup=c(12),ref=7, br=paste0( "Equitable Profiles")) xvsrefplot(Td=Td_noise,cgroup=c(12),ref=7, br=paste0( "Equitable Profiles"),err95=FALSE) d<-eg5(3,3) d_noise<-d+rnorm(prod(dim(d)),mean=0,sd=(1/2*sd(d,na.rm=TRUE))) Td_noise<-transformE(d_noise) xvsrefplot(Td=Td_noise)
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