records, so you can see my problem.
I should think that others must surely have encountered and overcome this
challenge. If anyone can kindly point me in a productive direction, I will
be most grateful.
-
Glen Sargeant
Research Wildlife Biologist
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("plot.pdf")
lapply(names,function(nms){
plot(df.lst[[nms]][,2], df.lst[[nms]][,3],col=clr[[nms]])
mtext(nms)})
dev.off()
-
Glen Sargeant
Research Wildlife Biologist
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mes
#Now you can use lapply() to carry out the same operation on
#each component of your list. For example, to send plots to
#a pdf with 1 page for each component:
pdf("plot.pdf")
lapply(df.lst,function(df)plot(df[,2],df[,3]))
dev.off()
-
Glen Sargeant
Research Wildlife Biol
60, or thereabouts).
>
> However, I would like to specify the pixel value at which the factors
> are created - e.g. create one factor containing pixel values of 0-5 and
> another factor containing all other pixel values. I have been
> struggling to work out how to do this using eith
Keith,
If you are working within a single time zone, including time zone
information with each record does not seem necessary and you probably are
not recording times to the sub-second. The best solution may thus be to use
a simpler date/time class that does not include time zone information. Y
jlwoodard wrote:
>
>
> Each of the above lines successfully excludes the BLUE subjects, but the
> "BLUE" category is still present in my data set; that is, if I try
> table(Color) I get
>
> RED WHITE BLUE
> 82 151 0
>
> How can I eliminate the BLUE category completely so I can do
Inchallah Yarab wrote:
>
> i want to do a table summerizing the number of variable where z is in
> [0-1000],],[1000-3000], [> 3000]
>
You can use "cut" to create a new vector of labels and tabulate the result.
Options control closed/open endpoints (see ?cut):
> z <- c(100,1500,1200,500,3500,
See also file.path() and create.dir(). You can use them with getwd() and
setwd() to specify and/or create subdirectories, relative to your current
working directory. Handy because they allow you to create paths and
directories with names derived within functions.
For example, I have used them to
alamoboy wrote:
>
> Newbie here. Many apologies in advance for using the incorrect lingo.
> I'm new to statistics and VERY new to R.
>
> I'm attempting to "group" or "bin" data together in order to analyze them
> as a combined group rather than as discrete set. I'll provide a simple
> examp
alamoboy wrote:
>
> Newbie here. Many apologies in advance for using the incorrect lingo.
> I'm new to statistics and VERY new to R.
>
> I'm attempting to "group" or "bin" data together in order to analyze them
> as a combined group rather than as discrete set. I'll provide a simple
> examp
Farrel Buchinsky-3 wrote:
>
> I have a column in which dates and times are specified thus
> m/d/ HH:MM:SS
> Alas, some entries do not include the time and therefore are only
> m/d/
> so I used read.csv and specified that the relevant column should be read
> as
> is and it remained as a
lawnboy34 wrote:
>
> Hello,
>
> Is there a combination of par() settings or other commands that will allow
> me to uniformly reduce the size of graphics outputs? It appears that the
> png() device outputs 5-inch by 5-inch images, and I am trying to change
> my
> whole script to produce 4x4 im
pmatch() facilitates a very simple solution:
#Data
IA <- factor(c(1,2,2,3,3,4,3,5,5))
FixTime <- c(200,350,500,600,700,850,1200,1350,1500)
#First occurrence of each level
first. <- pmatch(levels(IA),IA)
#Use first occurrence to subscript a vector or data frame
FixTime[first.]
A simple way to a
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