search for: str_trim

...6-Feb-04 ??? ??? ??? ??? ??? 2,A,9-Feb-01,24-May-01 ??? ??? 2,B,24-May-01,25-May-01 ??? ??? ??? ??? ??? 2,A,25-May-01,16-Mar-02 ??? ??? ??? ??? ??? 2,A,6-Mar-02,18-Mar-02 2,A,14-Sep-01,6-Mar-02 ??? ??? ",sep=",",header=TRUE,stringsAsFactors=FALSE) library(stringr) DataA[,3]<- str_trim(DataA[,3]) DataA[,4]<- str_trim(DataA[,4]) DataB<- read.table(text=" ID ??? Date.Accident ??? ??? 1?????? 3-Sep-01? 1 ??? 20-Jan-05 1?????? 26-Feb-04??? ??? 2 ??? 6-Mar-02 ",sep="",header=TRUE,stringsAsFactors=FALSE) ? lst1<-lapply(seq_len(nrow(DataB)),function(i)...

Dear R users, I have some trivial query. I have a string, I want to remove space from the string. For eg. Input: a <- " Remove space " Output required: "Removespace" I tried using str_trim but only removes end spaces. library(stringr). Regards Vikram [[alternative HTML version deleted]]

Hello R community, I am trying to combine two CSV files that look like this: File A Row_ID_CR, Data1, Data2, Data3 1, aa, bb, cc 2, dd, ee, ff File B Row_ID_N, Src_Row_ID, DataN1 1a, 1, This is comment 1 2a, 1, This is comment 2 3a,

Hi everyone, What is the easiest way to remove the word Average and strip leading and trailing blanks from the character vector (d5.Region) below? .nrow.d5. d5.Region 1 1 Central Average 2 2 Coastal Average 3 3 East Average 4 4 Metro East Average 5 5 Metro North Average 6 6 Metro South Average 7

Ein eingebundener Text mit undefiniertem Zeichensatz wurde abgetrennt. Name: nicht verf?gbar URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130117/8292cb66/attachment.pl>

...ulae #???????????????????????????? 2???????????????????????????? 14 #fdp.percentage_calc_foundation #??????????????????????????? 30 ###3rd question Subxt1<-xt1["2013-03-01 11:15/2013-03-01 11:28"] #Based on number of correct responses vec1<-sort(with(Subxt1,tapply(as.logical(str_trim(correct)),list(pupilId),sum))) head(vec1,3) #101 148? 69 #? 0?? 0?? 0 ?tail(vec1,3) # 55 149? 24 #? 2?? 3?? 4 #Based on proportion of correct responses vec2<-with(Subxt1,tapply(as.logical(str_trim(correct)),list(pupilId),length)) vec2New<- vec2[names(vec1)] ?vec3<-sort(vec1/vec2New) ?...

...nt_mode()) { return(if (block) "" else g) } if (block) { n = length(g) if (n >= 2 && grepl(chunk.end, g[n])) g = g[-n] g = strip_block(g, patterns$chunk.code) params.src = if (group_pattern(chunk.begin)) { stringr::str_trim(gsub(chunk.begin, "\\1", g[1])) } else "" parse_block(g[-1], g[1], params.src) } else parse_inline(g, patterns)}) > 7: split_file(lines = text) > 8: process_file(text, output) > 9: knitr::knit(knit_input, knit_output, envir = envir...

I am resubmitting this bug report but with additional information. I am running this with windows 10: w64-mingw32 with R Under development (unstable) (2017-12-04 r73829). I build 'httk' from the command prompt using 'R CMD build httk' after installing the required packages. Then when the vignettes are being created, it crashes. Today I installed the latest versions of Rtools,

...s. * new str_sub<- function (analogous to substring<-) for substring replacement * str_sub now understands negative positions as a position from the end of the string. -1 replaces Inf as indicator for string end. * str_pad side argument can be left, right, or both (instead of center) * str_trim gains side argument to better match str_pad * stringr now has a namespace and imports plyr (rather than requiring it) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ _______________________________________________ R-packages ma...

...t * new `word` function extract words from a string given user defined separator (thanks to suggestion by David Cooper) * `str_locate` now returns consistent type when matching empty string (thanks to Stavros Macrakis) * new `str_count` counts number of matches in a string. * `str_pad` and `str_trim` receive performance tweaks - for large vectors this should give at least a two order of magnitude speed up * str_length returns NA for invalid multibyte strings * fix small bug in internal `recyclable` function -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics /...

...t * new `word` function extract words from a string given user defined separator (thanks to suggestion by David Cooper) * `str_locate` now returns consistent type when matching empty string (thanks to Stavros Macrakis) * new `str_count` counts number of matches in a string. * `str_pad` and `str_trim` receive performance tweaks - for large vectors this should give at least a two order of magnitude speed up * str_length returns NA for invalid multibyte strings * fix small bug in internal `recyclable` function -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics /...

...s. * new str_sub<- function (analogous to substring<-) for substring replacement * str_sub now understands negative positions as a position from the end of the string. -1 replaces Inf as indicator for string end. * str_pad side argument can be left, right, or both (instead of center) * str_trim gains side argument to better match str_pad * stringr now has a namespace and imports plyr (rather than requiring it) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ _______________________________________________ R-packages ma...

Dear Community I have a large dataframe x as follows with common ids but different names: > x <- data.frame(ID = c(1,1,2,2,2,3,3), + Name = c("B Branch A Firm ","A Firm","B Firm","B Firm","B Firm C Branch","C Firm","C Firm A Branch") + ) > x ID Name 1 1 B Branch A Firm 2 1 A Firm 3 2

Holabueno, aunque hay muchas posibilidades para fusionar ambas tablas, usando la tuya sería algo así:Df3<-merge(Df1,Df2,by="Reviewer.Username", all = TRUE) El Lunes 16 de enero de 2017 20:08, Jesús Para Fernández <j.para.fernandez en hotmail.com> escribió: Los data.frames para unirlos lo mejor es que tengan el mismo numero de columnas o variables. El dataframe2 

...nt_mode()) { return(if (block) "" else g) } if (block) { n = length(g) if (n >= 2 && grepl(chunk.end, g[n])) g = g[-n] g = strip_block(g, patterns$chunk.code) params.src = if (group_pattern(chunk.begin)) { stringr::str_trim(gsub(chunk.begin, "\\1", g[1])) } else "" parse_block(g[-1], g[1], params.src) } else parse_inline(g, patterns)}) 7: split_file(lines = text) 8: process_file(text, output) 9: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet,...

...k) "" else >> g) } if (block) { n = length(g) if (n >= 2 && >> grepl(chunk.end, g[n])) g = g[-n] g = strip_block(g, >> patterns$chunk.code) params.src = if (group_pattern(chunk.begin)) { >> stringr::str_trim(gsub(chunk.begin, "\\1", g[1])) } >> else "" parse_block(g[-1], g[1], params.src) } else >> parse_inline(g, patterns)}) >> 7: split_file(lines = text) >> 8: process_file(text, output) >> 9: knitr::knit(knit_input,...

Hello, I have a question and need your help urgently. I am new to R but want to learn it. I have several files in a folder which I have imported to R using : temp = list.files(pattern="*.txt") >myfiles = lapply(temp, read.delim) The resulting files are on the workspace stored as List[110]. So they are 110 files in the list. Each file has several different columns and rows. My

I have a data set for different time intervals. The data has three comment lines before data for each time interval. For each time interval there are 500 data points. I want to change the dataset such that I have the following format: t1 t2 t3 ................ 0.00208 0.00417 0.00625 ................. a1 a2 a3 ...................

Hi, I would like to understand how to draw a graph to find out the average memory used by a single httpd process given these details collected over a period of several days. I code R but this is about a method to find an average memory utilization. I believe I have enough data. How should I statistically calculate this ? The figures inside braces are the total httpd processes at

An update: Running this block of code: # Load libraries library(tcltk) library(tidyverse) library(officer) filepath <- setwd(tk_choose.dir()) filename <- "Now they want us to charge our electric cars from litter bins.docx" #full_filename <- paste0(filepath, filename) full_filename <- paste(filepath, filename, sep="/") if (!file.exists(full_filename)) { ?