Dear all,
Given the following vector:
> (z <- c('R project', 'hello world', 'something Else'))
[1] "R project" "hello world""something Else"
I know how to obtain all capitals or all lower case letters:
> tolower(z)
[1] "r project" "hello world""something else"
> toupper(z)
[1] "R
Dear R forum,
I have a data.frame as defied below -
df = data.frame(names = c("C", "A", "A", "B", "C", "B", "A", "B", "C"), dates =
c("4/15/2013", "4/13/2013", "4/15/2013", "4/13/2013", "4/13/2013", "4/15/2013",
"4/14/2013", "4/14/2013","4/14/2013" ),values = c(10, 31, 31, 17, 11, 34, 102,
47
Hi,
I have got two groups of samples; and for every row, I wish to calculate
Kruskal-Wallis' p-value.
In the example below, and the stars () show where I am struggling to
design and put things together. Any help would be appreciated.
myFile <- data.frame(Sample_1a = 1:10, Sample_1b = 2:11, S
Hi,
I need to classify, using Naive Bayes and Bayes Networks, and estimate
their performance using cross validation.
How can I do this?
I tried the bnlearn package for Bayes Networks, althought I need to get
more indexes, not only the error rate (precision, sensitivity, ...).
I also tried the *e10
Hi,
I need to classify, using Naive Bayes and Bayes Networks, and estimate
their performance using cross validation.
How can I do this?
I tried the bnlearn package for Bayes Networks, althought I need to get
more indexes, not only the error rate (precision, sensitivity, ...).
I also tried the *e10
Dear All,
I would greatly appreciate if someone could suggest an alternative similar
package to GPS of Professor Friedman
Thank you!
Christos Giannoulis, PhD
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://st
I'm avare that I'm trying to plot factors and numeric in the same try. What
I needed confirmed, before waisting more time seeking the answer, was if
this was possible. Now I have confirmed that this is in deed not possible.
I have received a really good answer on stackexchange, which I like to
sha
Hi,
It would be better if you provided the output of dput(dataset). I am not sure
about the structure of your dataset.
Just from reading the data as is shown.
dat1<- read.table(text="
separator,tissID
>,>,2
,2,1
,6,5
,11,13
>,>,4
,4,9
,6,2
,7,3
,21,1
,23,58
,25,9
,26,4
>,>,11
,1,12
>,>,21
,4,1
Hi all,
excuse me my question. I read that eps have bmp incorporated and this
bmp maybe have different resolution. But eps file not have resolution. I
try import in Word and OpenOffice but this editors don't import my file.
I create a pdf file with eps file on pdfcreator and this is ok. I try on
L
Endy,
See the package ResourceSelection for the HL test and the package caret for the
sensitivity and specificity measures.
Regards,
Jose Iparraguirre
Chief Economist
Age UK, London
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Beh
Hi,
lapply(LETTERS[1:2],function(x) {x1<-get(x); x1$Rate<- ROC(x1$population);x1})
#[[1]]
# population Rate
#1 100 NA
#2 300 1.0986123
#3 5000 2.8134107
#4 2000 -0.9162907
#5 900 -0.7985077
#6 2500 1.0216512
#[[2]]
# population Rate
On Apr 14, 2013, at 11:00 AM, Duncan Murdoch wrote:
> On 13-04-14 1:11 PM, Mario José wrote:
>> Hi all,
>>
>> I try to save graphic as eps file, but I have probles with quality. My
>> graphics as pdf file is ok. The quality is very good. But when I save as
>> eps the quality is very poor.
>
> H
Hello all,
I have a problem with the way attributes are dealt with in the
function xmlToList(), and I haven't been able to figure it out for
days now.
Say I have a document (produced by nmap) like this:
> mydoc <- ' state="up" reason="echo-reply" reason_ttl="127"/>
cpe:/o:microsoft:wind
I have a data set to be analyzed using to binary logistic regression. The
data set is iin grouped form. My question is: how I can compute
Hosmer-Lemeshow test and measures like sensitivity and specificity? Any
suggestion will be greatly appreciated.
Thank you
Endy
[[alternative HTML vers
On 13-04-14 1:11 PM, Mario José wrote:
Hi all,
I try to save graphic as eps file, but I have probles with quality. My
graphics as pdf file is ok. The quality is very good. But when I save as
eps the quality is very poor.
How are you determining this? The quality looks similar to me.
I try c
I suggest you read the section on indexing in the Introduction to R document
that comes with R. In particular, look at the [[i]] notation. This comes in
handy in a couple of ways.
First, you shouldn't be working with "many" data frames at once that are stored
as separately-named objects. If you
Hello,
I'm not completely sure I've understood. Your variable 'letters' iholds
the names of the data.frames? If so it's better if you put yoyr
data.frames in a list and then use that list. Something like
lst <- list(A, B)
for (i in seq_along(lst)){
lst[[i]][["Rate"]] <- ROC(lst[[i]]
Dear R Helpers,
I have a large number of data frames and I need to create a new column
inside each data frame. Because there is a large number, I need to "loop"
through this, but I don't know the syntax of assigning a new column name
dynamically.
Below is a simple example of what I need to do.
Hi all,
I try to save graphic as eps file, but I have probles with quality. My
graphics as pdf file is ok. The quality is very good. But when I save as
eps the quality is very poor.
I try convert pdf to eps file using others programs like adobe acrobat
and the quality of eps is like pdf (file is
I have data that plots over time with four different variables. I would
like to combine them in one plot using facet_grid, where each variable gets
its own sub-plot. The following code resembles my data
require(ggplot2)
require(reshape2)
subm <- melt(economics, id='date', c('psavert','uempmed','u
I was wondering if anyone could help with choosing optimal lag length for ZA
test.
There have been two lag order selection methods commonly used in the
literature:
1) The ZA paper recommends to run the test with maximum number of lags. Then
the lag order is reduced sequentially until the longest
HI Sylvain,
To get the same order as in "Output"
Input$place<- factor(Input$place,levels=c("school","home","sport","beach"))
Input$people<- factor(Input$people,levels=c("Marc","Joe","Mary"))
xtabs(time~.,Input)
# place
#people school home sport beach
# Marc 2 4 0 0
#Joe
Yes, that was what was missing. Great!
Thanks a lot!
Best regards, Christoph
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Sent from the R help mailing list archive at Nabble.com.
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On Apr 14, 2013, at 11:37 , christoph_s wrote:
> ...
> However, executing in the command line
> (C:\Progra~1\R\R-2.15.3\bin\Rscript.exe ROC_test.R) gives following errors:
> Error in ifelse(is(roc, "smooth.roc"), length(attr(roc, "roc")$cases), :
> could not find function "is"
> Calls: coords ..
Hello,
If you run the example in ?bag you can type
data(BloodBrain)
ctreeBag$aggregate
at an R prompt to see an example aggregate function. Note that it dos
_not_ have the parenthesis.
Hope this helps,
Rui Barradas
Em 14-04-2013 11:31, Nicolás Sánchez escreveu:
Good morning all.
I am doi
Good morning all.
I am doing bagging with package caret. I need bagging for a classification
problem. I am working with " bag".
bag(x, y, B = 10, vars = NULL, bagControl = bagControl(), ...)
bagControl(fit = NULL,
predict = NULL,
aggregate = NULL,
downSample = FA
Dearh all,
I have following question: a script (using pROC functions) that works when
run in Rgui, failes when run through rscript.
This is the script:
library(pROC)
hits <- c("T", "D", "T", "D", "T", "D", "T", "D", "T", "D", "T", "D", "T",
"D", "T", "D", "T", "D")
score <- c(1.804984e-05, 1.908
On Apr 12, 2013, at 22:49 , Brian Pasley wrote:
> I'm using a multithreaded BLAS library with R and I see the expected
> speed improvements with matrix multiplication, svd, etc. However,
> glmnet continues to use only a single CPU. Since this package is
> compiled from Fortran, is this the expe
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