the study design of the data I have to analyse is simple. There is 1 control
group (CTRL) and 2 different treatment groups (TREAT_1 and TREAT_2).
The data also includes 2 covariates COV1 and COV2. I have been asked to check
if there is a linear or quadratic treatment effect in the data.
I crea
Hello,
consider the following data.frame:
test <- data.frame(n = c(1,2,3,4,5), v = c(6,5,7,5,3), pattern =
c(1,1,NA,1,NA))
> test
n v pattern
1 1 6 1
2 2 5 1
3 3 7 NA
4 4 5 1
5 5 3 NA
I tried to use apply and the adply function to set v t
Hello,
I am trying to reshape a data.frame in wide format into long format.
Although in the reshape R documentation
they programmer list some examples I am struggling to bring my data.frame
into long and then transform it back into wide format. The data.frame I look
at is:
df <- data.frame(ID1
Hey Michael,
thanks for your help. I think the reshape2 library works much better than
the normal reshape function.
However, I still cannot retransform my data.frame into wide format once used
melt function to transform
it into long format. How do I get it back to wide format?
The documentation, u
Hello,
I implemented two functions reshape_long and reshape_wide (see full working
example below) to reshape data frames.
I created several small examples and the two functions seemed to work
properly. However, using the reshape_wide function
on my real data sets (about 200.000 to 300.000 rows) fa
Dear members of the R-help list,
I have sent the email below to the R-SIG-ME list to ask for help in
interpreting some R output of fitted linear models.
Unfortunately, I haven't yet received any answers. As I am not sure if my
email was sent successfully to the mailing list I
am asking for help
Hi Petr,
thanks for your answer.
First of all it's not homework I am a student and need to analyse cancer
data using linear models.
I looked into that topic since a week now and still struggling in
interpreting some of the R output that is why
I was asking for help here.
I don't quite understand
Dear list,
I am running R code which produces a data.frame with variable rows. For
plotting purposes I need to relevel
the column called "names" but since the dimension of the data.frame can vary
I do not know how to dynamically
revel the data.frame.
Here is an example data.frame called df to i
Hi Michael,
yes you were right and your solution works great. thanks a lot. I managed to
do it but
with 4 lines of code rather than only 1.
Cheers
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Hello,
I use the R command
unlink(file, recursive = TRUE, force = TRUE)
to delete folders, subfolders and files on Mac OS X.
When I was running my script on a Windows computer I realised that for
unlink there is no option/parameter "force". I do not know why but without
that "force" option R c
Hello,
I am not exactly sure but I think the version which is installed on that
windows computer is 2.13.x
So it looks like that the people who developed that function recently
updated it.
I need to check that on Monday.
Thanks for you answer.
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Hi Brian,
that explains it. I will update R to 2.14.x tomorrow.
Thanks for your post.
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Hello,
I used read.xlsx to read in Excel files but for large files it turned out to
be not very efficient.
For that reason I use a programme which writes each sheet in an Excel file
into tab-delim txt files.
After that I tried using read.table and read.delim to read in those txt
files. Unfortunate
Hello,
I need to analyse a data matrix with dimensions of 30x100.
Before analysing the data there is, however, a need to remove outliers from
the data.
I read quite a lot about outlier removal already and I think the most common
technique for that seems to be Principal Component Analysis (PCA). H
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