similar to: Merge matrices with different column names

Dear R-help, I posted this on 4 Oct but got no response (I wasn't even told to go away and do some more background reading ;) ). I am reposting it in the, perhaps, vain hope that someone with knowledge of the subject will reply, if only to point me in a different direction to which I am now facing. Earlier Posting:--- I am sorry if this is more of a stats question than an R-question, but I

Greetings, I have been exploring the use of the caret package to conduct some plsda modeling. Previously, I have come across methods that result in a R2 and Q2 for the model. Using the 'iris' data set, I wanted to see if I could accomplish this with the caret package. I use the following code: library(caret) data(iris) #needed to convert to numeric in order to do regression #I

Hello, Simple question that I am stuck on and can't seem to find an answer in the help files currently. I have a list which contains repeated ID's. I would like to have R count the number of ID's. For example: ID=c(1,1,1,1,2,2,2,2,3,3,3,3) as.data.frame(ID) Clearly, there are 3 groups. How would I have R give me the summary: ID 3 Many thanks, Charles [[alternative HTML

Hello, I am trying to reformat some data so that it is organized by group in the columns. The data currently looks like this: group X3.Hydroxybutyrate X3.Hydroxyisovalerate ADP 347 4 4e-04 3e-04 5e-04 353 3 5e-04 3e-04 6e-04 359 4 4e-04 3e-04

Hello R users, This is more of a convenience question that I hope others might find useful if there is a better answer. I work with large datasets that requires multiple parsing stages for different analysis. For example, compare group 3 vs. group 4. A more complicated comparison would be time B in group 3 of group L with B in group 4 of group L. I normally subset each group with the

Generic question... I am familiar with generic power calculations in R, however a lot of the data I primarily work with is multivariate. Is there any package/function that you would recommend to conduct such power analysis? Any recommendations would be appreciated. Thank you for your time, Charles [[alternative HTML version deleted]]

To R users, I am trying to use cut2 function from the 'Hmisc' library. However, when I try and run the function on the following variable, I get an error message (displayed below). I suspect it is because of the NA but I have no idea how to address the error. Many thanks to any insights. structure(list(var1 = c(97, 97, 98, 98, 97, 99, 97, 98, 99, 98, 99, 98, 98, 97, 97, 98, 99, 98,

Hello everyone, I'm having some trouble interpreting the results of a Wilcoxon (Mann-Whitney U) test. Hope you can help. This is the R script that I am running: a <- c(1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 2, 1, 5, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 3, 1, 1) b <- c(1, 2, 1, 1, 2, 3, 2, 2, 1, 2, 1, 1, 1, 2) wilcox.test(a, b, alternative="t", mu=0, exact=FALSE, paired=FALSE) #1st

Greetings R users, I am trying to renumber my groups within the file shown below. The groups are currently set as 8,9,10,etc. I would like to renumber this as 1,2,3,etc. I have searched the help files and only come across using the rownames to renumber the values but I need to match values. Any assistance is always appreciated, Regards, Charles structure(list(Group = structure(c(1L, 1L, 1L,

Greetings R users, I have a curious problem. I read in a csv file (subset shown below) as normal data=read.table("C:/Users/Chaz/Desktop/test.csv",sep=",",header=TRUE, na.strings=".") However, the numbers from the dataset are not registered as numeric: is.numeric(data$Mesh) [1] FALSE When I try as.numeric, it converts all the values to different integers. This

This is more of a general question without data. After doing 'survdiff', from the 'survival' package, on strata including four groups (so 4 curves on a Kaplan Meier curve) you get a chi squared p-value whether to reject the null hypothesis or not. Is there a method to followup with pairwise testing on the respective groups? I have searched the library but have come up with

Thank you Dan but it isn't my tests that are failing (all of them pass without problem) but one of the examples from the inst/examples directory. I did try, however, to start R with the environmental variables as you suggest but it had no effect on my tests. Charles On Wed, May 13, 2015 at 1:51 PM, Dan Tenenbaum <dtenenba at fredhutch.org> wrote: > > > ----- Original Message

Hello, I am trying to set up a loop that can run the survdiff function with the ultimate goal to generate a csv file with the p-values reported. However, whenever I try a loop I get an error such as "invalid type (list) for variable 'survival_data_variables[i]". This is a subset of my data: structure(list(time = c(1.51666666666667, 72, 72, 25.7833333333333, 72, 72, 72, 72, 72,

Hi, does anyone know of a function to calculate odds ratios in multiway tables (stratified) (+ the other usual statistics involved) i mean: say we have a table r*c*d, For every d (depth) we have a r*c table, and in this table the odds ratio's are calculated for every 2*2 subtable in it. logically this function would look like): ORs(multiwaytable) or ORs(data$var1r,data$var2c,data$var3d)

Greetings, I am familiar with the function cite('packageName') which provides the output generated from the DESCRIPTION file. In most cases this is sufficient but I was wondering if there are contributing authors (in addition to the primary) also listed on the CRAN page. Is there a proper way to account for them or are they generally not listed? Regards, -- Charles Determan

This is strictly a curiosity question. I am aware the R doesn't possess a float data type. I also don't mean to request that such functionality be implemented as I'm sure it would require a large amount of work with potential back compatibility conflicts. But I wanted to know why R has never had a float data type available? Regards, Charles [[alternative HTML version deleted]]

R Developers, Could someone help explain what it means that R is single threaded? I am trying to understand what is actually going on inside R when users want to parallelize code. For example, using mclapply or foreach (with some backend) somehow allows users to benefit from multiple CPUs. Similarly there is the RcppParallel package for RMatrix/RVector objects. But none of these address the

Charles, 1. Perhaps this question is better directed at the R-help or R-pacakge-devel mailinglist. 2. It basically means that R itself can only evaluate one R expression at the time. The parallel package circumvents this by starting multiple R-sessions and dividing workload. Compiled code called by R (such as C++ code through RCpp or C-code through base R's interface) can execute

On 12 May 2016 at 13:11, Mark van der Loo wrote: | Charles, | | 1. Perhaps this question is better directed at the R-help or | R-pacakge-devel mailinglist. | | 2. It basically means that R itself can only evaluate one R expression at | the time. | | The parallel package circumvents this by starting multiple R-sessions and | dividing workload. | | Compiled code called by R (such as C++ code

Greetings, I am collaborating with developing the bigmemory package and have run in to a strange problem when we run R CMD CHECK. For some reason that isn't clear to us one of the examples crashes stating: Error: memory could not be allocated for instance of type big.matrix You can see the output on the Travis CI page at https://travis-ci.org/kaneplusplus/bigmemory where the error starts