similar to: Question regarding to replace <NA>

Dear r users, I have 4 variables x1,x2,x3,x4 and each one has two levels, for example Y and N. For x1: prob(Y)=0.6, prob(N)=0.4; For x2: prob(Y)=0.5, prob(N)=0.5; For x3: prob(Y)=0.8, prob(N)=0.2; For x4: prob(Y)=0.9, prob(N)=0.1; Therefore, the sample space for (x1, x2, x3, x4)={YYYY, YYYN, YYNY,......} (16 possible combination) and the corresponding probabilities are {(0.6)(0.5)(0.8)(0.9),

Hi r users, I have two data sets (X1, X2). For example, time1<-c( 0, 8, 15, 22, 43, 64, 85, 106, 127, 148, 169, 190 ,211 ) outpue1<-c(171 ,164 ,150 ,141 ,109 , 73 , 47 ,26 ,15 ,12 ,6 ,2 ,1 ) X1<-cbind(time1,outpue1) time2<-c( 0 ,8 ,15 , 22 ,43 , 64 ,85 ,106 ,148) output2<-c( 5 ,5 ,4 ,5 ,5 ,4 ,1 ,2 , 1 ) X2<-cbind(time2,output2) I want to

Often I perform the same task on a series of variables in a dataframe, by looping through a character vector that holds the names and using paste(), eval(), and parse() inside the loop. For instance: thesevars<-names(environmental) environmental$ToyOutcome<-rnorm(nrow(environmental)) tableOfResults<-data.frame(var=thesevars) tableOfResults$Beta<- NA

Hello, I have a dataframe with several hundred variables. I would like to explore updates of some baseline lme fit by including each of some subset of these variables, one at a time. For various reasons it is inconvenient to rely on the positions of the numbered columns in the dataframe. Here is what I want to do: mod.baseline<-lme(fixed=foo,data=dat,random=bar) for(thisvar in vars){

Dear all, I have partial data set with four colums. First column is "site" with three factors (i.e., A, B, and C). From second to fourth columns (v1 ~ v3) are my observations. In the observations of the data set, "." indicates missing value. I replaced "." with NA. To replace "." with NA, I used two steps. First, I replaced "." with NA, and

I am using dgc.genetics to perform TDT analysis on SNP data from a cohort of trios. I now have a file with about 6008 variables. The first few variables related to the pedigree data such as the pedigree ID the person ID etc. Thereafter each variable is a specific locus or marker. The variables are named by a pattern such as "Genotype.nnnnn" with nnnnn corresponding to a number which

Dear R gurus, On the CRAN website, it says that a 64bit version for Mac OS Tiger would be release shortly. Do we know what are the expected dates? Will the packages be also compiled for 64bit? We are running large microarray analysis and we keep hitting the 3Gb memory limit. I saw that there is a version available on the development mirrors, but I am not too excited to replace our very stable

I'm trying to create a new column in my data.frame where subjects are categorized depending on values on four other columns. In any other case I would just nest a few ifelse statements, however, in this case i have 4*6*2*3=144 combinations and i get weird 'context overflow' errors. So I wonder if there is a more efficient way of doing this. For illustrational purposes, let's say

Hi everyone, I have a data frame Gene with SNPs eg. P1 P2 P3 CG CG GG -- -- AC -- AC CC AC -- AC I tried to replace all the GG with a value 3. Gene[Gene=="GG"]<-3 It always give me: Warning in `[<-.factor`(`*tmp*`, thisvar, value = 3) : invalid factor level, NAs generated Does any know if there is anything wrong with my code? Thanks, Zhengyu

Hi, Is it possible to use asterisk with Free World Dialup (FWD) ? Did someone manage to make it work? how? Best, -P -- __________________________________________________________ Sign-up for your own personalized E-mail at Mail.com http://www.mail.com/?sr=signup CareerBuilder.com has over 400,000 jobs. Be smarter about your job search http://corp.mail.com/careers

On Wed, Apr 6, 2016 at 10:46 AM, Peter Collingbourne <peter at pcc.me.uk> wrote: > I suspect that the right way to do promotion/renaming of this sort is to > rename at the MC layer just before writing the symbol table to the object > file. > I think that is too late - how would the symbols be distinguished in the LTO case below after the IR is linked but before we renamed the

On Wed, Apr 6, 2016 at 11:16 AM, Peter Collingbourne <peter at pcc.me.uk> wrote: > On Wed, Apr 6, 2016 at 10:49 AM, Teresa Johnson <tejohnson at google.com> > wrote: > >> >> >> On Wed, Apr 6, 2016 at 10:46 AM, Peter Collingbourne <peter at pcc.me.uk> >> wrote: >> >>> I suspect that the right way to do promotion/renaming of this

Hello, I have a variable created like ... Set(__myVar=${ARG1}) ... Set(__${myVar}STATUS=) If ARG1 is abcd, variable is abcdSTATUS and should be empty. This is OK. Now I would like to get the value of abcdSTATUS. How to do it? ${${myVar}STATUS}} isn't working, nor ${{myvar}STATUS} Thanks for any hint -- Daniel

I still wonder if this would be an issue in _standard_ (not thin) LTO? This test seems to be OK on my (slightly modified) standard LTO flow, but I do wonder for a more general case. Sergei --- Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, hosted by The Linux Foundation From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org] On Behalf Of Peter Collingbourne

Dear all, When porting my package to WinXP I have the following problem: I need to create an environment variable "MYVAR=c:\mypath" which I have saved in the control panel "System->My Computer" (under the `Advanced' tab). I have two files which need to access MYVAR: config.win, Makefile.win While "config.win" does recognize MYVAR correctly,

I am trying to create a set of vectors which have similar names. They have a common part and an extra unique part. I am sure I have seen questions on this before but I have been unable to find it in the archive. There are examples of sets of names for columns of a data frame, but not for individual vectors. Suppose I want vectors named myvar.1 myvar.2 etc. I tried: >

Can one create a variable through a function by name createVariable <- function(name) { outputVariable = name name <- NULL } after calling createVariable("myVar") I would like to have a variable myVar initialized with NULL in my environment. Is this possible? Ralf

Hello, I?m hoping you have a few minutes to help out someone very new to R. I?ve done some searching, but cannot find this particular issue. I have survey data from two different time periods (years). Both years are stratified samples and have the same variables (and variable names), but are different people in the community answering in the different years. Everything loads into the survey

I encountered an issue with ThinLTO handling of inline assembly, where the inline assembly referenced a constant that was a local variable. The local var was renamed because it was promoted in ThinLTO mode, but the inline assembly copy was not renamed and we ended up with an undef at link time. It looks like this is a general problem with inline assembly and LTO. Wondering if it is a known issue.

This is a bit of a nuby question methinks but i''ve had a play/search around and it''s just bugging me now :0) Say I have a conditional statement, testing a variable against a number of values. The first way i did this is like so: if myvar != "" and myvar != 0 and myvar != nil # .. code end This seems a bit messy - is there neater way of doing this? I thought of: