[R] Multiple plots and postscripts using split function
William Dunlap
wdunlap at tibco.com
Thu Jul 31 21:19:45 CEST 2014
Even better is to replace
for(i in 1:length(something)) {}
with
for(i in seq_along(something)) {}
The former gives you 2 iterations, the 2nd probably causing an error,
when length(something) is 0. The latter always gives one iteration
per element of 'something'.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Jul 31, 2014 at 11:56 AM, Jeff Newmiller
<jdnewmil at dcn.davis.ca.us> wrote:
> The range vector is evaluated at the start of the loop, so it is only evaluated once. ind.length would be an unnecessary extra variable.
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>
> On July 31, 2014 11:09:59 AM PDT, Don McKenzie <dmck at u.washington.edu> wrote:
>>While you�re at it, assign length(ind) to a variable before starting
>>the loop. Otherwise length() is called at each iteration. e.g.,
>>
>>ind.length <- length(ind)
>>for (i in 1:ind.length) {
>>
>>etc.
>>
>>On Jul 31, 2014, at 10:57 AM, David L Carlson <dcarlson at tamu.edu>
>>wrote:
>>
>>> This is one of those times when you would do better to just use a
>>loop. It will be easier to debug and to see what is going on. Replace
>>the sapply() call with
>>>
>>> for (i in 1:length(ind)) {
>>> postscript(names(ind[i]))
>>> par(mar=c(6,8,6,5), cex=0.8)
>>> plot(ind[[i]][,c('YEAR','VALUE')],
>>> type='b',
>>> main = ind[[i]][1, "NAME"],
>>> . . . other commands . . . )
>>> dev.off()
>>> }
>>>
>>> -------------------------------------
>>> David L Carlson
>>> Department of Anthropology
>>> Texas A&M University
>>> College Station, TX 77840-4352
>>>
>>>
>>>
>>> -----Original Message-----
>>> From: r-help-bounces at r-project.org
>>[mailto:r-help-bounces at r-project.org] On Behalf Of fd
>>> Sent: Thursday, July 31, 2014 9:37 AM
>>> To: r-help at r-project.org
>>> Subject: [R] Multiple plots and postscripts using split function
>>>
>>> Hi,
>>>
>>> I'm relatively new to R and I would like to do the following:
>>>
>>> I have a .csv file with four columns (NAME, ID, YEAR, VALUE) and
>>would like
>>> to do several xy plots with the year on the x-axis and the data
>>values
>>> (measurements) on the y-axis and after that export the different
>>plots to
>>> postcript.
>>>
>>> My .csv file looks something like this (only an example):
>>>
>>> NAME ID YEAR VALUE
>>> ADAMS 885 1988 -2
>>> ADAMS 885 1989 0
>>> BAHIA DEL DIABLO 2665 1999 4
>>> BAHIA DEL DIABLO 2665 2000 8
>>> BAHIA DEL DIABLO 2665 2001 19
>>> BAHIA DEL DIABLO 2665 2002 13
>>> BAHIA DEL DIABLO 2665 2003 13
>>> BARTLEY 893 1983 0
>>> BARTLEY 893 1984 -1
>>> BARTLEY 893 1985 0
>>> BARTLEY 893 1988 2
>>> BARTLEY 893 1989 -1
>>> CANADA 877 1972 -1
>>>
>>> I have split the different items into groups and I'd like the plots
>>to have
>>> the title of NAME but the filename of the postscript to be exported
>>should
>>> have the ID as filename.
>>>
>>> My code so far:
>>>
>>> #Set Working Directory:
>>> setwd("/Users/Desktop/FV")
>>> # Read CSV
>>> dat <- read.csv("FV.csv", sep=";", header=TRUE)
>>> # Split Data
>>> ind <- split(x = dat,f = dat[,'ID'])
>>> nam <- names(ind)
>>>
>>> sapply(nam, function(x) {
>>> postscript(x)
>>> par(mar=c(6,8,6,5), cex=0.8)
>>> plot(ind[[x]][,c('YEAR','VALUE')],
>>> type='b',
>>> main = x,
>>> xlab="Time [Years]",
>>> ylab="Front variation")
>>> axis(1, at = seq(1800,2100,5), cex.axis=1, labels=FALSE, tcl=-0.3)
>>> axis(2, at = seq(-100000,100000,500), cex.axis=1, labels=FALSE,
>>> tcl=-0.3)
>>>
>>> dev.off()
>>> })
>>>
>>> This results in plots with the title and filename of the resulting
>>> postscript being the same. Is there a way to get the plot title out
>>of the
>>> NAME column and the filename out of the ID?
>>>
>>> Additionally I'd only like to plot graphs for items with more than 3
>>data
>>> values. Is this possible to incorporate in the split command?
>>>
>>> Another point is that some items have gaps in the time series where
>>no
>>> measurements were taken (in my example: BARTLEY from 1983 to 1985 and
>>1988
>>> to 1989). I would like to plot using type= 'b' so that the points are
>>> connected with lines, but when doing that, the values between 1985
>>and 1988
>>> are automatically connected which I don't want. I'd like the plot to
>>start
>>> again at the value where the gap ends (in my example from 1988
>>onwards). Is
>>> there a solution for this?
>>>
>>> Any help is kindly appreciated! Thanks for your help.
>>>
>>> Kind regards,
>>> fd
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>http://r.789695.n4.nabble.com/Multiple-plots-and-postscripts-using-split-function-tp4694850.html
>>> Sent from the R help mailing list archive at Nabble.com.
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>>Don McKenzie
>>Research Ecologist
>>Pacific Wildland Fire Sciences Lab
>>US Forest Service
>>
>>Affiliate Professor
>>School of Environmental and Forest Sciences
>>University of Washington
>>dmck at uw.edu
>>
>>
>>
>>
>>
>> [[alternative HTML version deleted]]
>>
>>
>>
>>------------------------------------------------------------------------
>>
>>______________________________________________
>>R-help at r-project.org mailing list
>>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide
>>http://www.R-project.org/posting-guide.html
>>and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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