similar to: Merging two datasets

Hi, I am running Ubuntu on my Windows OS through VMware. I am trying to install R in Ubuntu, but not getting with those commands, which are there on the site. Can anyone please tell me how to install it, stepwise, with commands to be used. As I m new to Ubuntu as well, I am not aware of the commands very well. Thanks, Shreyasee [[alternative HTML version deleted]]

Hi, I have imported one dataset in R. I want to calculate the percentage of missing values for each month (May 2006 to March 2007) for each variable. Just to begin with I tried the following code : *for(i in 1:length(dos)) for(j in 1:length(patientinformation1) if(dos[i]=="May-06" && patientinformation1[j]=="") a <- j+1 a* The above code was written to calculate

Hi, I want to create a new vignette and include it in an already existing package. That package has already many vignettes which are related to the chapters from the book on which the package is built. It would be a great help if anyone could help to understand how to create vignette for a statistical test like Chi-Square test. Thanks, Shreyasee [[alternative HTML version deleted]]

#I want to "merge" or "join" 2 dataframes (df1 & df2) into a 3rd (mydf). I want the 3rd dataframe to contain 1 row for each row in df1 & df2, and all the columns in both df1 & df2. The solution should "work" even if the 2 dataframes are identical, and even if the 2 dataframes do not have the same column names. The rbind.fill function seems to work. For

Hi there, I have a list of dataframes (generated by reading multiple files) and all dataframes are comparable in dimension and column names. They also have a common column, which, I'd like to use for merging. To give a simple example of what I have: df1 <- data.frame(c(LETTERS[1:5]), c(2,6,3,1,9)) names(df1) <- c("pos", "data") df3 <- df2 <- df1 df2$data

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

Hi, I have a dataset in which there are in all 250 variables and for each variable the data is entered over the months. I need to calculate the percentage of missing values for each variable over each month and then plot a graph for that. I am running the following code for doing the same *ds <- read.csv(file="filepath", header=TRUE) attach(ds) may <-

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

Hi, I have faced a problem with the merge() function when trying to merge two data frames that have a common index but the second one does not have cases for all indexes in the first one. With usual variables R fills in the missing cases with NA if all=T is requested. But if the variable is a matrix R seems to insert NA only to the first column of the matrix and fill in the rest of the columns by

Hello! I have 2 data frames like this (well, actually, I have 200 of them): df1<-data.frame(location=c("loc 1","loc 2","loc 3"),date=c("1/1/2010","1/1/2010","1/1/2010"), a=1:3,b=11:13,c=111:113) df2<-data.frame(location=c("loc 1","loc 2","loc

Hello, I have two dataframes DF1 and DF2 that should be identical but are not (DF1 has some rows that aren't in DF2, and vice versa). I would like to produce a new dataframe DF3 containing rows in DF1 that aren't in DF2 (and similarly DF4 would contain rows in DF2 that aren't in DF1). I have a solution for this problem (see self contained example below) but it's awkward and

Hi, I'd like to merge mutliple dataframes from a list of dataframes by some common columns. The approach for simply merging 2 dataframes is working with: merge(df1,df2,by=c("col1","col2","col3"),all=TRUE) For mutliple dataframes in a list I try to use the merge_all command from the package reshape. The documentation states that the command takes a list of

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

Hi Guys I have two data frames which I would like to merge on two conditions. I am doing the following (abstract form) new.data.frame <- merge(df1,df2, by=c("Col1","Col2")) It is giving me a null result. Basically I need to apply two conditions. I also tried sqldf but it is running forever. Will indexing help ? temp <- sqldf("select

df1 -- dataframe with column date and several other columns. #rows >40k Several of the dates are repeated. df2 -- dataframe with two columns date and index. #rows ~130 This is really a map from date to index. I would like to create a column called index in df1 which has the corresponding index from df2. The following works: index <- NULL for(wk in df1$week){ index <-

Hi everyone, I have been merging many big dataframes (about 80000 rows each) and I never had this problem, but now it happened to me and I want to know if someone knows what could be happening. The final dataframe has many rows, an impossible number! I have done edit(dataframe) and I saw that there are many repeated rows (all equal). Thanks for any help, Cec?lia Carmo Universidade de

Is it intended that the first suffix can no longer be blank? Seems to be caused by a bug fix to merge in R 2.15.0. $Rdevel --vanilla DF1 = data.frame(a=1:3,b=4:6) DF2 = data.frame(a=1:3,b=7:9) merge(DF1,DF2,by="a",suffixes=c("",".1")) Error in merge.data.frame(DF1, DF2, by = "a", suffixes = c("", ".1")) : there is already a column

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 <-

I'm wondering about the behavior of the merge function when using factors as by variables. I know that when you combine two factors using c() the results can be odd, as in: c(factor(1:5),factor(6:10)) which prints: [1] 1 2 3 4 5 1 2 3 4 5 I presume this is because factors are actually stored as integers, with 6,7,8,9,10 stored internally as 1,2,3,4,5. This concerns me somewhat, as I often

Buenas, Tengo dos data.frames de la siguiente manera library(data.table) id<-c("a1","a2","a3","a4") id2<-c("a2","a3","a1","a4") y<-c(1,2,3,4) z<-c(3,5,6,7) k<-c(1,3,8,7) df1<-data.table(id,y,z) id<-c("a2","a3","a1","a4") df2<-data.table(id,x,y) Quiero