Great example Glen!
I want to add simply a small thing that could be useful to someone.
Suppose in your last step you want to change the line color for each chart.
Using a for loop it is simple to use the integer index to access the df.lst
elements and
set the color:
for(i in
Thank you, Mario.
Biostudent asked how one could perform repetitive tasks, e.g., plotting,
with subsets of data. I originally provided a flexible example based on
lapply. Mario suggested a variation that permits flexible control of
options. This reply shows how Mario's objective and naming of
Hi Thanks for all your help
Its a little difficult to follow those examples as all seem so different and
its hard to see how I do what I want to my data from the help files but i'll
try...
--
View this message in context:
but I have thousands of results so it would be really hand to find away of
doing this quickly
its a little difficult to follow those examples
Given your data in data.frame DF, maybe add the following to your list to
investigate :
dat = data.table(DF)
dat[, cor(Score1,Score2),
Hi
I'm hoping someone can help me I am a relative newbie to R.
I have data that is in a similar format to this...
Experiment Score1 Score2
X -0.85 -0.02
X -1.21 -0.02
X 1.05 0.09
Y -1.12 -0.07
Y -0.27 -0.07
Y -0.93 -0.08
Z 1.1 -0.03
Z 2.4 0.09
Z -1.0 0.09
Now I can easily have a look at the
On Jan 20, 2010, at 11:07 AM, BioStudent wrote:
Hi
I'm hoping someone can help me I am a relative newbie to R.
I have data that is in a similar format to this...
Experiment Score1 Score2
X -0.85 -0.02
X -1.21 -0.02
X 1.05 0.09
Y -1.12 -0.07
Y -0.27 -0.07
Y -0.93 -0.08
Z 1.1 -0.03
Z 2.4
You'll probably want to look at the 'by' function
d=data.frame(sex=rep(1:2,50),x=rnorm(100))
d$y=d$x+rnorm(100)
head(d)
cor(d)
by(d[,-1],d['sex'],function(df)cor(df))
You might also want to look at the doBy package
--
View this message in context:
One way to plot subsets of data identified by a grouping variable is to use
lapply() on a list of subsets. The approach is worth mentioning because
similar tactics are useful for many problems.
#List of unique values for grouping variable
#that is not necessarily a factor
names -
8 matches
Mail list logo
