similar to: replace multiple string

There is a dataset 'm', which has 3 columns: 'index', 'old1' and 'old2'; I want to create 2 new columns: 'new1' and 'new2' on this condition: if 'index'==i, then 'new1'='old1'+add[i]. 'add' is a vector of numbers to be added to old columns, e.g. add=c(10,20,30 ...) Like this: index old1 old2 new1

It does give a warning, but then it overwrites the files, anyway. Reproducible example below. This is R 3.4.3, but it does not seem to be fixed in R-devel: https://github.com/wch/r-source/blob/4a9ca3e5ac6b19d7faa7c9290374f7604bf0ef64/src/main/dounzip.c#L171-L174 FYI, G?bor dir.create(tmp <- tempfile()) setwd(tmp) cat("old1\n", file = "file1") cat("old2\n", file

This adds support for CONFIG_COMPAT_VDSO. As this will certainly raise questions, I left in the code needed for an alternative approach (which requires mode C code, but less build script changes). Signed-off-by: Jan Beulich <jbeulich@novell.com> Index: head-2007-02-27/arch/i386/Kconfig =================================================================== ---

This adds support for CONFIG_COMPAT_VDSO. As this will certainly raise questions, I left in the code needed for an alternative approach (which requires mode C code, but less build script changes). Signed-off-by: Jan Beulich <jbeulich@novell.com> Index: head-2007-02-27/arch/i386/Kconfig =================================================================== ---

This adds support for CONFIG_COMPAT_VDSO. As this will certainly raise questions, I left in the code needed for an alternative approach (which requires mode C code, but less build script changes). Signed-off-by: Jan Beulich <jbeulich@novell.com> Index: head-2007-02-27/arch/i386/Kconfig =================================================================== ---

Hi, I'm trying to convert a 33GB mail store from mbox to compressed mdbox (largest mbox is 2.7GB). The source store is live, e.g. there are mails delivered into it and mails are being read. Actually it is my own mail. :) Although my test runs were very successful I have run into trouble with the first run on the whole store. After fighting a bit around with errors like Error: Trying

I'm trying to convert an S-Plus program to R.  Since I'm a SAS programmer I'm not facile is either S-Plus or R, so I need some help.  All I did was convert the underscores in S-Plus to the assignment operator <-.  Here are the first few lines of the S-Plus file:   sshc _ function(rc, nc, d, method, alpha=0.05, power=0.8,              tol=0.01, tol1=.0001, tol2=.005, cc=c(.1,2),

Can any one help it will be very kind, loop statements I have this table and some more records, I want to reshape it V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 TP53 Dis1 Dis2 Dis3 Dis4 Dis5 Dis6 DCI New1 New2 New3 New4 FDI Hi2 H3 H4 GHD I1 I3 I4 I5 I6 I7 I8 I want my new table or matrix to be some thing like this V1 V2 V3 Tp53 Dis1 Dis2 Tp53 Dis1 Dis3 Tp53 Dis1 Dis4 Tp53 Dis1 Dis5 Tp53 Dis1 Dis6 Tp53 Dis2

Hello all, I'm new in R, and I have a data-frame like this (dput information below): Specie Fooditem Occurrence Volume 1 Schizodon vegetal 1 0.05 2 Schizodon sediment 1 0.60 3 Schizodon vegetal 1 0.15 4 Schizodon alga 1 0.05 5 Schizodon sediment 1 0.90 6 Schizodon

I've dug around but not been able to find anything, am probably missing something obvious. How can I fill a three-dimensional (or higher dimension) array by rows instead of columns. eg new1 <- array(c(1:125), c(5,5,5)) works fine for me but fills it by columns and new2 <- array(c(1:125), c(5,5,5), byrow=TRUE) throws an error. Am I missing something obvious? I also tried

Hello, I will appreciate any suggestion for this simple problem. I have a matrix of characters "A", "P", "M". I want to convert those characters to integers 0,1, 1 respectively. I am using the following R statements: exprs.new<-gsub("P",1,exprs) exprs.new1 <- gsub("A",0,exprs.new) exprs.new2 <-

Dear R users, someone knows how to remove auto-correlation from a frequencies time series? I've tried by differencing (lag 1) the cumulative series (in order to have only positive numbers) , but I can't remove all auto-correlation. If it's useful I can send my db. x <- # autocorrelated series new1<-cumsum(x) new2<-diff(new1,lag=1,differences = 1) acf(new2) #

By changing three lines in drop1 from access based on $ to access based on standard accessor methods (terms() and residuals()), it becomes *much* easier to extend drop1 to work with other model types. The use of $ rather than accessors in this context seems to be an oversight rather than a design decision, but maybe someone knows better ... In particular, if one makes these changes (which I am

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Dear all, I have some encoding problem which I'm not familiar with. Here is the case : I'm read data files which can have been generated from a computer either with global settings in french or in english. Here is an exemple ouf data file : * English output Time,Value 17,-0.0753953 17.05,-6.352454E-02 * French output. Time,Value 32,-7,183246E-02 32,05,3,469364E-02 In the first

I have a form with about 30+ fields, which the client is wanting to separate into 3 pages/steps - just wondering what is the best way to go about this, specifically remembering data entered, from one page to another, and making sure the various bits of data are validated correclty, error messages outputted etc etc... is there a best practice method for doing this? -- Posted via

Hi, R-listers, Failed, when I tried to merge df1 and df2 by "codetot" in df1 and "codetoto" in df2. I want to know the reason and how to merge them together. Data frames and codes I have used were listed as followed. Thanks a lot in advance. df1: popcode codetot p3need BCPy01-01 BCPy01-01-1 100.0000 BCPy01-01 BCPy01-01-2 100.0000 BCPy01-01 BCPy01-01-3 100.0000 BCPy01-02

Dear all, I am trying to define "+" method for my newly defined s4 class which is as follows: setClass("Me", sealed=F,representation(x1 = "numeric", x2 = "character")) new1 <- new("Me", x1=2, x2="comment1") new2 <- new("Me", x1=3, x2="comment1") setMethod("+", "Me",

A general question that I have been pursuing for some time but have set aside. When finishing some analysis, I can have multiple matrices that have specific column names. Ideally, I would like to combine these separate matrices for a final output as a csv file. A generic example: Matrix 1 var1A var1B var1C x x x x x

Hi, thank you for taking the time and reading my question. My question is twofold: 1. I have several matrices with variables and one matrix with water levels. I want to predict the water level with the data in the other matrices. Basically, * mod<-lm(matrix1 ~ matrix2+matrix3)* ( What looks like a minus is meant to be the wiggly minus.) Of course I could dissemble the matrices and paste