similar to: lapply to change variable names and variable values

I have the following data: prefix <- c("cheap", "budget") roots <- c("car insurance", "auto insurance") suffix <- c("quote", "quotes") prefix2 <- c("cheap", "budget") roots2 <- c("car insurance", "auto insurance") roots3 <- c("car insurance", "auto

Utilizo la función merge desde hace poco, pero no se me ocurre cómo utilizarla para esto. Yo pienso que se puede hacer con una combinación de ifelse-s pero no sé cómo. Seguro que hay más de una forma ce hacerlo. Quoting José María Mateos <chema en rinzewind.org>: > On Sat, Nov 10, 2018 at 07:54:19PM +0100, Manuel Mendoza wrote: >> Muy buenas. A ver si alguien puede echarme

Dear All Sorry for this simple question, I could not solve it by spending days. My data looks like this: # data set.seed(1234) clvar <- c( rep(1, 10), rep(2, 10), rep(3, 10), rep(4, 10)) # I have 100 level for this factor var; yvar <- rnorm(40, 10,6); var1 <- rnorm(40, 10,4); var2 <- rnorm(40, 10,4); var3 <- rnorm(40, 5, 2); var4 <- rnorm(40, 10, 3); var5 <- rnorm(40, 15,

I need to process some datasets where the configuration information was stored in .INI-like files, i.e., text files with sections like this: [Section1] var1=value1 var2=value2 [Section2] A=value3 B=value4 ... >From Google and other searches I haven't found any package, or function within a package, that reads .INI files into an R list, or other data structure. Any suggestions, or

Hi all, probably really simple to solve, but having no background in programming I haven't been able to figure this out: I have two dataframes like df1 <- data.frame(names1=c('aa','ab', 'ac', 'ad'), var1=c(1,5,7,12)) df2 <- data.frame(names2=c('aa', 'ab', 'ac', 'ad', 'ae'), var2=c(3,6,9,12,15)) Now I want merge

Hallo Everyone I have the kind of problem that one should never have because one must always plan well and communicate with your team. But now I haven't so here is my problem. I have data coming in on a daily basis from surveys in 10 towns. The questionnaire has 62 variables but some of the regions have used older versions of the questionnaire that have a few variables less. I want to combine

Hello everybody! I've a file with several data six variables, three quantitative and three qualitative, I would like to select a group of data from the file to analyze then, i.e: my file is like that (but with 6 variables): Var1 Var2 2 1 5 1 8 1 7 2 3 2 8 2 I want to use only the data where var2 is "1" 2 1 5 1 8 1 Exist a

Hi, I have a grouped data set and would like to calculate weighted proportions for a large number of factor variables within each group member. Rather than using dplyr::count() on each of these factors individually, the idea would be to do it for all factors at once. Does anyone know how this would work? Here is a reproducible example: ############################################################

Hello: Forgive me, this is surely a simple question but I can't figure it out, having consulted the help archives and "Data Manipulation With R" (Spector). I have a list of 11 data frames with one common variable in each (prov). I'd like to use lapply to go through and recode one particular level of that common variable. I can get the recode to work, but it only returns the

Hi: I have two variables in a data frame that are the results of a wording experiment in a survey. I'd like to create a third variable that combines the two variables. Recode doesn't seem to work, because it just recodes the first variable into the third, then recodes the second variable into the third, overwriting the first recode. I can do this with a rather elaborate indexing process,

Hello, My problem is that I would like to merge multiple files with a common column but merge accepts only two data.frames to merge. In the real situation, I have 26 different data.frames with a common column. I can of course use merge many times (see below) but what would be more sophisticated solution? For loop? Any ideas? DF1 <- data.frame(var1 = letters[1:5], a = rnorm(5)) DF2 <-

# Hello, # I have a list with 6 categories and with different numbers of rows. # I would like to change each of them into a unique data frame in order to match # values with other data frames and perform some calculations. # Or I could make each category or list element have the same number of rows and create one large data.frame. # below is a creation of a sample list # I apologize for the

Hi, what is the recommended way to vertically concatenate 2 data frames with the same column names but different number of rows? My problem is something along these lines: df1 <- data.frame(var1=var1,var2=var2,var3=var3) # nrow(df1)=1000 df2 <- data.frame(var1=var4,var2=var5,var3=var6) # nrow(df2)=2000 I tried df <- c(df1,df2), no success. stack does not seem to be appropriate

Hi R users, I have a question about plotting. The following two datasets are an example. What I have in mind is like the attached figure, but just have two rows, top row is for DF1, bottom row is for DF2. The top and bottom rows, have x-axis as var1, var2, var3, etc, while the y-axis represents A. For each row, only the leftmost panel has y-axis ticks and label. For the two rows, only the bottom

A quick question. I'm trying to plot a surface from a fitted model along with the original points, as in the following example: df<-data.frame(expand.grid(100*runif(1:100), 100*runif(1:100))) df$Var3<-rnorm(length(df$Var1), mean=df$Var1*df$Var2, sd=10) my.lm<-lm(Var3 ~ Var1*Var2, data=df) my.fun<-function(x,y) predict(my.lm, data.frame(Var1=x, Var2=y),

Hi folks, I'm just learning how to use maps. As an initial foray, I'm mapping the states that have "duty to retreat" (blue) and "stand your ground" (red) self-defense standards. Here is my extremely naive script: dtr <- c('alabama', 'arizona', 'conneticut', 'delaware', 'dist of columbia' , 'hawaii',

Muy buenas. Quiero hacer un loop en el que en cada iteración se hace un subset con el que se queda con las muestras para la que cierta variable es positiva. Si hago esto, sale bien: df2<-subset(df, subset = var1>0) Pero he probado así (y de no sé cuantas formas más), antes de hacer el for, y no sale: GT<- c("var1","var2", ? ) df2<-subset(df,

Dear colleagues, I have a data set that looks roughly like this; mydat<-data.frame(state=c(rep("Alabama", 5), rep("Delaware", 5), rep("California", 5)), news=runif(15, min=0, max=8), cum.news=rep(0, 15)) For each state, I'd like to cumulatively sum the value of "news" and make that put that value in cum.news. I'm trying as follows but I get

I noticed there is a country_select. Is there anything like us_state_select maybe? More specifically - I''m wondering if I manually have to populate an array with all the U.S. state abbreviations so users can select which state they live in while entering their mailing address. -- Posted via http://www.ruby-forum.com/.

Hi, I have a large dataset with info on individuals (B) that have been involved in projects (A) during multiple years (C). The dataset contains three columns: A, B, C. Example: A B C 1 1 a 1999 2 1 b 1999 3 1 c 1999 4 1 d 1999 5 2 c 2001 6 2 d 2001 7 3 a 2004 8 3 c 2004 9 3 d 2004 I am interested in how well all the individuals in a project know each other. To