Dear R experts,
I am trying to optimize my script, because right
now it requires a lot of memory. The goal is to
generate four plots in one page. Every plot
corresponds to the means and sem's calculated for a
given variable at different days. In order to obtain
the means and sem's I apply the 'by' function. The way
I have done it so far is like this:
Read the data
Generate a summary of the mean and sem of a variable
at every Day.
Plot the mean and sem of that variable.
Repeat the same process for the other 3 variables.
I tried to optimize the code by using a for loop,
the code is below.
#Reading the data
dato<-read.csv('mydata.csv')
names(dato)<-c("id","day","tx","var1","var2","var3","var4")
dato<-dato[,1:7]
#Specify varible to be plotted
variable<-c('var1','var2','var3','var4')
#Define parameters of window where panel: margins,
number of plots in the panel
windows(height=9, width=9, rescale='fixed')
par(mfrow=c(2,2),xpd=T, bty='l',
omi=c(0.8,0.25,1.2,0.15), mai=c(1.1,0.8,0.3,0.3))
for (k in variable) {
dat<-dato[!is.na(k),]
summ<-by(dat,dat[,c("tx","day")], function(x) {
mn<-mean(x$k)
std<-sd(x$k)
n<-length(x$k)
se<-std/sqrt(n)
lowb<-mn-se
upb<-mn+se
data.frame(tx=x$tx[1],day=x$day[1],mn=mn,std=std,lowb=lowb,upb=upb,se=se)
})
summ<-do.call("rbind",summ)
#Definining x axis range
xmax<-unique(max(summ$day,na.rm=TRUE))
xmin<-unique(min(summ$day,na.rm=TRUE))
yaxmin<-unique(min(summ$lowb))
yaxmax<-unique(max(summ$upb))
plot(1,1,type='n',xlab='Day',xlim=c(xmin,xmax),ylim=c(yaxmin,yaxmax),
ylab=k,
las=1,cex.lab=1,xaxp=c(xmin,xmax,diff(range(c(xmin,xmax)))))
points(summ$day,summ$mn)
}
Where variable is a vector that specifies all the
variables I want to plot.
But I am getting the following error:
?Error in var(as.vector(x), na.rm = na.rm) : 'x' is
empty
In addition: Warning message:
In mean.default(x$k) : argument is not numeric or
logical: returning NA?
Could some one please show me how to structure my
code to achieve my final goal, which is to simplify
it?
I am attaching a csv file in case you want to run my
code.
Thank you very much in advance for your time and help,
Judith
____________________________________________________________________________________
Be a better friend, newshound, and
