similar to: R Function to extract columnNames

Hola, Una manera muy sencilla de hacerlo es esta: #------------------------------- whatcol <- 0 for(i in 1:ncol(d)){ whatcol[i] <-class(d[,i]) } whatcol #-------------------------------- > whatcol <- 0 > for(i in 1:ncol(d)){ + whatcol[i] <-class(d[,i]) + } > whatcol [1] "character" "character" "factor" "factor"

Hi, I am making my way down the learning curve of R, and find it a great language with so many helpful users! Below is an example of what I'm trying to do, but can't quite figure out the right path to go down. Here's what I have: Main is a time series of data with columns Cola and Colb Cola Colb 1 1 1 2 1

Hello every body, I am quite a new user of R so I beg your pardon for this naive question and the lake of syntax with wich I ask it: I have a data frames like this: cola colb 1 c 1 i 1 i 1 c 2 i 2 c 2 c 2 i 2 i ... 10000 I would like ,for each level of cola and for x in colb: -if colb[x]=="i" and colb[x-1] does not exist (first row in dataframes), then replace colb[x] by

Hi, I have two dataframes: The first, df1, contains some missing data: cola colb colc cold cole 1 NA 5 9 NA 17 2 NA 6 NA 14 NA 3 3 NA 11 15 19 4 4 8 12 NA 20 The second, df2, contains the following: cola colb colc cold cole 1 1.4 0.8 0.02 1.6 0.6 I'm wanting all missing data in df1$cola to be replaced by the value of df2$cola.

Hi, I am trying to use the nls() function to closely approximate a vector of values, colC and I'm running into trouble. I am not sure how if I am asking the program to do what I think its doing, because the same minimization in Excel's Solver does not run into problems. If anyone can tell me what is going wrong, and why I'm getting a singular convergence(7) error, please tell me. I

Greetings all, I am getting an error message that is stifling me. Any ideas? > ## Define Directories ## > load_from <- "/home/mcc/Dropbox/abrodsky/kegg_combine_data/" > save_to <- "/home/mcc/Dropbox/abrodsky/ttest_results/" > > ############################### > ## Define Columns To Compare ## > compareA <- "log_b_rich" > compareB

Dear all, I have a problem with the "subset()" function. I spent all day yesterday with a collegue to solve it and we did not find a satisfying solution (even in the archived mails), so I ask for your help. Let's say (for a simple example) a matrix mat: R> mat cola colb colc [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 My goal is to select the lines of the matrix on the basis of the

Hello all! I am currently trying to sort a data frame in a particular way, but I am having some difficulties with this. Specifically I want to sort the below dataset in such a way that there is only one line per ProteinID and if there are multiple GeneID or GeneName entries for a single proteinID, that they be concatenated with a comma separating them. The way I have done it earlier worked fine

Greetings all, I am curious to know if either of these two sets of code is more efficient? Example1: ## t-test ## colA <- temp [ , j ] colB <- temp [ , k ] ttr <- t.test ( colA, colB, var.equal=TRUE) tt_pvalue [ i ] <- ttr$p.value or Example2: tt_pvalue [ i ] <- t.test ( temp[ , j ], temp[ , k ], var.equal=TRUE) ------------- I have three loops, i, j, k. One to test the all of

Dear R Help: I am trying to sum data from one column in a dataframe based on a value in another. I do not know how to do this easily in R. For example: Col A Col B 1 0 3 0 2 1 2 0 1 0 4 0 1 1 9 1 3 0 5 0 2 1 I would like to cumsum the values in Col A for all rows where Col B is 0, and a value of 1 in Col B will reset

Dear Group: I have 72 files (.txt). Each file has 2 columns and column 1 is always identical for all 70 files. Each file has 90,799 rows and is standard across all files. I want to create a matrix 40(rows) x 70 columns. I tried : temp = list.files(pattern="*.txt") named.list <- lapply(temp, read.delim) library(data.table) files.matrix <-rbindlist(named.list) >

Hello, I have a general formatting question. I have two columns of data: ColA <- c("m", "m", "m", "m") ColB<- c("d","d","d","d") And I would like to reorder them into a new column that looks like this: ColC<-

Following is a function that I wrote (It is working well). It's a simple one, nothing complicated. The only question that I have is a qutation mark issue, I guess. ############################################# funcname <- function(trait.file){ #line1 setwd('/root/subroot') # line 2 load('imge.RData')

I needed to be able to update stub pointers for hot functions that get recompiled in a lazy JIT that uses CompileOnDemandLayer. In order to do this I added a method that allows pointers to be updated but does not expose any of the other internals of the COD layer. Does anyone have a cleaner way to do this? Has something to facilitate this already been added? Would it be possible to merge this

In MCJIT, the old JIT functions are deprecated in favor of getFunctionAddress. Code like: llvm::Function *F = M->getFunction(FuncName); void *FN = EE->getPointerToFunction(F); should be rewritten as uint64_t FN = EE->getFunctionAddress(FuncName); While functionally identical, in case the correct module is known the new version will be much slower, linear with the number of added

General "moving" function. I'm a relatively new comer to R, and I've only just started writing my own R functions. However, I need some help for something which I'm sure is quite straight forward. I want to write a function that will allow me to calculate "moving results" for a given vector. Ideally, the function will be of the form foo<-function(vector1,

FreeBSD-12.1p7 jail running Samba-4.10.15 on ZFS. When I run 'samba-tool domain backup offline targetdir=/tmp' I see this: running backup on dirs: /var/db/samba4/private /var/db/samba4 /usr/local/etc Starting transaction on /var/db/samba4/private/secrets At which point samba-tool enters a permanent wait state. 86064 root 1 52 0 131M 78M wait 3 0:01 0.00%

Hola usuarios de R, Antes de nada presentarme, soy nuevo en R (antiguo... y bueno actual usuario de SAS), llevo menos de un mes y estoy intentando empezar con pequeñas cosas. Hay un tema que me está llevando bastante tiempo y por más que investigo y hago pruebas no logro saber como se hace; veréis tengo un data.frame el cuál tiene bastante variables y todas ellas clasificadas como char, sin

+Lang Hames <lhames at gmail.com>, Master Regent of the Three <No, Two sir> JITs On Thu, Jul 28, 2016 at 12:31 PM Sean Ogden via llvm-dev < llvm-dev at lists.llvm.org> wrote: > I needed to be able to update stub pointers for hot functions that get > recompiled in a lazy JIT that uses CompileOnDemandLayer. In order to do > this I added a method that allows pointers to

i did the debugging as you said. Kindly refer the following logs: (gdb) c Continuing. thread apply all bt [New Thread 0x7fc337c6b700 (LWP 29520)] Program received signal SIGSEGV, Segmentation fault. 0x0000000000000000 in ?? () (gdb) thread apply all bt Thread 12 (Thread 0x7fc337c6b700 (LWP 29520)): #0 0x00007fc33509f18d in read () from /lib/x86_64-linux-gnu/libpthread.so.0 #1