-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Nasrin Pak
Sent: Wednesday, 17 November 2010 7:24 a.m.
Cc: r-help at r-project.org
Subject: [R] Extending a plot in a loop (With attachment)
My problem is that I have a data set for every day of measurement in a
seperate file and I want to plot one parameter of the data for all the
days in one graph. I tried to use for loop but only the last data
remains in the program memory, I don`t know how to plot each day`s data
continusly after the others(or how to extending the x axis.) Would you
please help me with it?
This a plot for one day:
radiation.data
<-read.table("C:/updated_CFL_Rad_files/2008/RAD_2008_JD101_0410.dat",
header = TRUE,sep = ",", quote = " ", dec = ".")
The following object(s) are masked from 'radiation.data (position 3)':
Batt_avg, Batt_st, Day, Hour, Kdown_avg, Kdown_st, LW_in, LW_in_st,
Minute, Month, PanelT_avg, PanelT_st, PAR_avg, PAR_st, Sec,
Tcase_avg, Tcase_st, Tdome_avg, Tdome_st, Thermopile_avg,
Thermopile_st, Tuv_avg, Tuv_st, Uva_avg, Uva_st, Uvb_avg, Uvb_st,
Year
[1] "Year" "Month" "Day" "Hour"
[5] "Minute" "Sec" "Batt_avg" "PanelT_avg"
[9] "Batt_st" "PanelT_st" "Kdown_avg"
"Thermopile_avg"
[13] "Tcase_avg" "Tdome_avg" "LW_in" "PAR_avg"
[17] "Tuv_avg" "Uvb_avg" "Uva_avg" "Kdown_st"
[21] "Thermopile_st" "Tcase_st" "Tdome_st" "LW_in_st"
[25] "PAR_st" "Tuv_st" "Uvb_st" "Uva_st"
plot(((PAR_avg*0.216)/Uvb_avg),
main="Par/UVB",xlab="minutes",ylab="Par/UVB")
and this is the algorithm I tried for plotting all the data in one
plot:
x<- matrix( list.files("C:/updated_CFL_Rad_files",full=TRUE)) # putting
all data sets in a matrix
for(i in 1:100) {
if(i < 101) next
radiation.data <-read.table(x[i], header = TRUE,sep = ",", quote =
" ", dec = ".")
attach(radiation.data)
plot(i*Hour*60+Minute,PAR_avg,main="PAR",xlab="Hour",ylab="Par")
dev.print(device=postscript, "C:/graph5.eps", onefile=FALSE,
horizontal=FALSE)
}
The plot I see is the last file's plot, I don't know how to keep
previous data and continue within the same plot.
* I have attached a sample of the data to this email.
--
Sincerely
Nasrin Pak
--
Sincerely
Nasrin Pak