You are asked in the Posting Guide to provide a small, reproducible example.
Your function is Byzantine, and depends on who knows what, and I can't even see
what your end product is intended to be.
I will say that I think you have missed the point with your approach to using
ggplot... you might
You messed up the quote marks and the "library" function is not capitalized.
You defined your search list by the name "list", which is also the name of a
commonly used base function in R. Also, the vector you gave to GetAllSubsets
had several misleading invisible conversions to character because
On suggestion is to tell us what you want to accomplish, because that error
makes perfect sense to me and your intent is rather opaque. Data frames are not
lists of rows, they are lists of columns.
One solution could be
tstSet[["term"]] + 1
Another might be
tstSet <- within(tstSet,{term <- te
Folks,
I have the following problem.
tstSet<-structure(list(corr = c(0.59, 0.62), term = c(7, 7), am = c("AmYes",
"AmNo"), prem = c(19.5, 14.75)), .Names = c("corr", "term", "am",
"prem"), out.attrs = structure(list(dim = structure(c(3L, 2L,
2L, 41L), .Names = c("corr", "term", "am", "prem")),
Hi Emma,
In writeRaster(), the argument is "datatype", not "dataType".
Hope this helps,
Pascal
On Fri, Sep 26, 2014 at 3:08 AM, White, Emma wrote:
> Hi,
>
> I am reading in some raster files and converting them to GeoTiff (using the
> raster package), I want them to be 8 bit unsigned integer (
On Sep 25, 2014, at 11:21 AM, C Lin wrote:
> Dear R users,
> There is a package called NanoStringNorm with a function called
> NanoStringNorm.
> What I want to do is to change the NanoStringNorm function from the package
> with my own copy that is written in my.nanostringnorm.R.
> But if I do
Inline.
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374
"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll
On Thu, Sep 25, 2014 at 3:28 PM, Sven E. Templer wrote:
> see inline for another vectorized example.
Hello list
I would like to know how can i detect dataframe columns that have as
unique values elements of a list.
For example, at a given dataframe to look for columns that unique values
are elements of a list like this one
dataframe<-data.frame(
x = c("yes, "1, "no, "no),
y = c("black,
see inline for another vectorized example.
On 25 September 2014 23:05, David L Carlson wrote:
> Another approach
>
> fun <- function(i, dat=x) {
> grp <- rep(1:(nrow(dat)/i), each=i)
> aggregate(dat[1:length(grp),]~grp, FUN=sum)
> }
>
> lapply(2:6, fun, dat=TT)
>
>
> ---
Another approach
fun <- function(i, dat=x) {
grp <- rep(1:(nrow(dat)/i), each=i)
aggregate(dat[1:length(grp),]~grp, FUN=sum)
}
lapply(2:6, fun, dat=TT)
-
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
Hello,
Try the following.
fun <- function(x, r){
if(r > 0){
m <- length(x) %/% r
y <- numeric(m)
for(i in seq_len(m)){
y[i] <- sum(x[((i - 1)*r + 1):(i*r)])
}
y
}else{
Dear useRs,
Here is my data with two columns and 20 rows.
> dput(TT)
structure(c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 24, 48, 72, 96, 120, 144, 168, 192, 216, 240, 264, 288, 312, 336, 360, 384,
408, 432, 456, 480), .Dim = c(20L, 2L), .Dimnames = list(NULL, c("",
Hello list,
I have been working on learning ggplot for its extraordinary flexibility
compared to base plotting and have been developing a function to create a
"Minitab-like" process capability chart.
*sigh* some of the people I interface with can only understand the data when it
is presented
Dear R users,
There is a package called NanoStringNorm with a function called NanoStringNorm.
What I want to do is to change the NanoStringNorm function from the package
with my own copy that is written in my.nanostringnorm.R.
But if I do the following:
source('my.nanostringnorm.R")
unlockBind
Hi,
I am reading in some raster files and converting them to GeoTiff (using
the raster package), I want them to be 8 bit unsigned integer (values in
the case of this particular raster range from 0 to 55). However when
writing the raster to GeoTiff R seems to assign it to dataType "FLT4S"
desp
On Sep 25, 2014, at 1:02 PM, Yuan, Rebecca
wrote:
> Hello all,
>
> After this reinstallation of R 3.1.1 and Rstudio 0.98.1028, I have the
> following error messages whenever I tried to load a library to it:
>
>> library('zoo')
> Error : '.path.package' is defunct.
> Use 'path.package' instead
Hello,
This seems to be an RStudio issue, to load package zoo works on R 3.1.1
on Windows, at least when using RGui. RStudio has its own help list,
maybe you should contact them, at https://support.rstudio.com.
> library(zoo)
Attaching package: ‘zoo’
The following objects are masked from ‘p
Hello all,
After this reinstallation of R 3.1.1 and Rstudio 0.98.1028, I have the
following error messages whenever I tried to load a library to it:
> library('zoo')
Error : '.path.package' is defunct.
Use 'path.package' instead.
See help("Defunct")
Attaching package: 'zoo'
The following objec
On 25/09/2014 11:46 AM, Jeff Newmiller wrote:
No, masking does not imply inheritance. Simply that "foo" now refers to a different
function, so you have to use "oldpkg::foo" if you want to get at the old function from
your normal working environment.
I haven't read the book (?), but I'd guess
Chris;
You are posting in HTML. You have apparently not read the Posting Guide. This
is a plain-text mailing list. Please do read it now:
http://www.R-project.org/posting-guide.html
The code scraped from you consoles comes through without any linebreaks. (It's
pretty easy to configure gmail to
Sorry to respond again so quickly, but is this what you meant?
y <- subset(training, select = c(ResponseSu))> x <- subset(training,
select = c(sinaspect, habitat, elevation, disttowat, disttoroad,
slope, cosaspect))> type.rf <- yai(x=x, y=y, method="randomForest",
rfMode="regression", ntree=20)>
No, masking does not imply inheritance. Simply that "foo" now refers to a
different function, so you have to use "oldpkg::foo" if you want to get at the
old function from your normal working environment.
Note that packages that call "foo" will continue to find the versions they
intended to call
Thanks again for your help, I am obviously a novice programmer. That said,
I think I am confused as to what you mean by reproducible code. Were the 20
lines of code not reproducible? Also, what do you mean by the help for
Ascii Grid Impute. I'm not able to find it online or within the R platform.
F
On Thu, 25 Sep 2014, MacQueen, Don wrote:
And to answer the “What do I read ...?” question
help.search('masked’)
returns quite a few things on my system, and the one you want is
Don, et al.:
Further research led me to re-read the beginning of "Analyzing
Compositional Data with R" where the
Chris,
You are not making it easy for R help folks to help you.
You need to supply *** reproducible *** code, so that folks can simply copy
and paste directly from your e-mail to R and reproduce the error that you
are getting. Do you need a guide to follow? See the first 60-some lines
of code p
And to answer the “What do I read ...?” question
help.search('masked’)
returns quite a few things on my system, and the one you want is
base::conflicts Search for Masked Objects on the Search Path
Then of course
?conflicts
Also, having seen those messages, you can do
find(‘norm
I am also wondering how the Accuracy reported by the confusion matrix for
gbm and rf could vary with the type of machines. The seed is the same. What
other factors could affect the accuracy ? library is caret.
Thanks,
Mohan
On Thu, Sep 25, 2014 at 2:30 PM, Mohan Radhakrishnan <
radhakrishnan.mo..
On Wed, 24 Sep 2014 02:36:58 PM m...@considine.net wrote:
> No, I don't think so. And I've wondered if I described the problem
> clearly, so I put together the following hack, which seems to be what
I
> want :
>
> #create a matrix to hold the values corresponding to various
percentiles
> vals<-
Greetings,
I ran across this recommendation, to keep the norms of the columns of
the Amat on similar
scales,
https://stat.ethz.ch/pipermail/r-help/2007-September/141335.html
However, when I looked at the code, I noticed that the norms are already
being calculated:
c
c calculate the
Hi everyone
Since I updated package 'ffbase', subset.ffdf does not work with bit vectors
anymore. Here is a short example:
data(iris)
library(ffbase)
iris.ffdf <- as.ffdf(iris)
index <- sample(c(FALSE,TRUE), nrow(iris), TRUE)
index.bit <- as.bit(index)
subset(iris.ffdf, subset=index.bit)
resu
Hi,
I have trained my data using two models(gbm and rf). I get the accuracies
shown below.
How does one get the aggreement accuracy% ? Is that the comparison of the
two confusion matrices ?
Confusion Matrix and Statistics
Reference
Prediction 1 2 3 4 5 6 7 8 9 10 11
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