Hi,
the print of rpart fitting gives the summary of tree
I would like to save the console text of:
fit - rpart(formula, data)
summary - print(fit)
when I look in summary I did not find the same thing as in
print(rpart)
[1] Clinical Data exists
[1] merging samples from Clinical and
Hi,
All right for rpart package but it seems there is a confusion in text
function.
prp is not found
Error in fun() : could not find function prp
Thanks
Ô__
c/ /'_;kmezhoud
(*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ
http://bioinformatics.tn/
[[alternative HTML version deleted]]
Use capture.output(), as in
junk - capture.output(summary(1:10))
junk
[1]Min. 1st Qu. MedianMean 3rd Qu.Max.
[2]1.003.255.505.507.75 10.00
cat(junk, sep=\n)
Min. 1st Qu. MedianMean 3rd Qu.Max.
1.003.255.505.507.75
Yes Thanks! that works,
but I loose the \n when I would like to save or edit it.
getTextInWindows is a function that edits any text in editor.
getTextInWindows(summary): without \n
save (file= junk.txt, junk):without \n
getTextInWindow(capture.output(cat(junk, sep = \n))) :No works
Thanks
Use paste(collapse=\n, junk) if you want it as a single string with \n's
in it.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Thu, Nov 13, 2014 at 1:13 PM, Karim Mezhoud kmezh...@gmail.com wrote:
Yes Thanks! that works,
but I loose the \n when I would like to save or edit it.
OK thanks
That works.
:)
Ô__
c/ /'_;kmezhoud
(*) \(*) ⴽⴰⵔⵉⵎ ⵎⴻⵣⵀⵓⴷ
http://bioinformatics.tn/
On Thu, Nov 13, 2014 at 10:41 PM, William Dunlap wdun...@tibco.com wrote:
Use paste(collapse=\n, junk) if you want it as a single string with \n's
in it.
Bill Dunlap
TIBCO Software
Jason,
In the help file for predict.rpart it says, The predictors referred to in
the right side of formula(object) must be present by name in newdata.
?predict.rpart
So, that's just the way it is. There are a couple ways to work around
this, if you wish. You could create a data frame with
Jean,
Thanks for your quick reply and suggestions!
In the help file for predict.rpart it says, The predictors referred to in
the right side of formula(object) must be present by name in newdata.
I was aware of that statement from the help file. I wondered about the
reason for that
After fitting and pruning an rpart model, it is often the case that one or
more of the original predictors is not used by any of the splits of the
final tree. It seems logical, therefore, that values for these unused
predictors would not be needed for prediction. But when predict() is called
on
Hi,
I am a brand new user and may be my question is too simple. I have R on
our (not Unix) server. I am trying to build a decision tree and the error
message says couldn't find function rpart. Does it mean I have to ask our
server guy to install an additional package?
Thank you,
Olga
Olga Shaganova wrote:
Hi,
I am a brand new user and may be my question is too simple. I have R on
our (not Unix) server. I am trying to build a decision tree and the error
message says couldn't find function rpart. Does it mean I have to ask our
server guy to install an additional package?
Hi Olga,
not directly related to your question. We have also a server
installation and subsequently our IT department determines which version
and packages I can use on R.
A few days ago I have switched to R-portable. Works without any problems
from my USB stick on any locked-for-installation
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