similar to: Rbind with data frames -- column names question

Hi list, I have been trying to pileup dataframes with different column names using rbind. I am getting the following error message. I was wondering if there is a way to go around this minor problem? Error in match.names(clabs, names(xi)) : names don't match previous names: G Thanks indeed for your information Regards Mahdi -- ----------------------------------- Mahdi Osman (PhD)

Hello, I have several data sets, which I want to combine column-by-column using "rbind" (the data sets have ~100 columns). The problem is, that in some data sets some of the columns are missing. Simply using rbind gives me: "Error in match.names(clabs, names(xi)) : names don't match previous names" Is there a simple way to make R do the rbind despite the missing columns

I'm using the current version of xtable for 1.9.0 and I have an interesting error: Error in match.names(clabs, names(xi)) : names don't match previous names: F value, Pr(>F) In addition: Warning message: longer object length is not a multiple of shorter object length in: clabs == nmi This is produced in the following manner: >data.trans <-

Dear list members, I would like to merge multiple dataframes and seems that this task is going to be required quite often, so I decided to write a simple (pseudo)recursive merge. I started with the case when dataframes are merged by rows (0). But there is a problem when a dataframe to be merged in the step n has some items that are not in previous ones. Then I get "Error in match.names(clabs,

I am trying to concatenate 2 datasets that don't have exactly the same column. In SAS I did: data summary; set agency prop; run; No problem in R I get error message summary <-rbind(agency,prop) Error in match.names(clabs, names(xi)) : names do not match previous names But when I use rbin.fill, that overwrites the second file w/ first one. Is there a way to replicate the sas process

When attempting to merge 3 data frames, one of which has fewer columns than the others, rbind.data.frame correctly refuses to perform the bind. However, the error message given is a bit obscure due to a logical bug in the match.names() internal function to rbind.data.frame. Illustration: ## Three data frames with same column variable names: > foo <- data.frame(v1 = c('a',

Full_Name: Martin Elff Version: 1.5.0 OS: MS Windows 98 Submission from: (NULL) (134.155.91.46) Merging of two data frames by variables with different names (using by.x and by.y) is no longer possible (it was possible in version 1.4.1). Call: mvoteint.classd.matadd <- merge( unique(mvoteint.classd), unique(subset(dimens.mpp,

As a newer R practicioner, it seems I stump myself weekly (at least) with issues that have spinning my wheels.  Here is yet another... I'm trying to turn a list of numeric vectors (of uneual length) inot a dataframe.  Each vector held in the list represents a row, and there are some rows of unequal length.  I would like NAs as placeholders for "missing" data in the shorter vectors. 

Hello R-help! I just wanted to share a tip might help others of us stuck on R. The documentation for zip.file.extract is rather scant, and a few examples would. When using zip.file.extract, the first argument should be the full (or relative) path and the second the name of the zip file, it seems. While this is counterintuitive to me, that it should get the part from the first argument,

Hi all, I am trying to to merge two data.frames(kk and ff) like > kk a b d 1 1 4 7 2 2 5 8 3 3 6 9 > ff a b d 1 2 5 8 2 3 6 9 3 4 7 1 and g<-rbind(kk,ff) is working perfectly and giving results but if any of the column name changed then its giving "Error in match.names(clabs, names(xi)) : names do not match previous names" like > kk a b d 1 1 4 7 2 2 5 8 3 3

Dear members, I am extracting a pdf table by the following code: > library(tabulizer) > IDT <- extract_tables("https://www.canmoney.in/pdf/INTRADAYLEVERAGE-20220531-latest.pdf",output = "data.frame") It returns 4 different data frames which I want to combine them and make one data frame. But when I run this: >

Rusers, I am trying to append multiple .csv files of different dimensions (but # of columns are the same for all .csv files). I do have .csv files whose names are CA1.csv ~ CA100.csv. CA means california and 1 means the first file. So what I have been doing (after googling how to append by row multiple files) was: cleanup_data<-function(state,count) { out<-matrix() for (i in 1:

Clearly the column names are different. You need to decide what to do about that. Choose the subset of dataframes where the column names are the same? Rename columns? Omit some columns? Add missing columns filled with NA? On April 9, 2023 10:22:32 AM PDT, akshay kulkarni <akshay_e4 at hotmail.com> wrote: >Dear members, > I am extracting a pdf table by the

A number of users have spotted a terminal problem with the 'debug' package under R2.4.0, along the lines of > mtrace(x) > x() Error in attr(value, "row.names") <- rlabs : row names must be 'character' or 'integer', not 'double' This arose from a bug in 'rbind.data.frame' in R2.4.0 itself. The bug is fixed in R2.4.0 patched, so the

Dear R helpers, Following is my R code where I am trying to calculate returns and then trying to create a data.frame. Since, I am not aware how many instruments I will be dealing so I have constructed a function. My R code is as follows - library(plyr) mydata <- data.frame(instru_name =

Dear Jeff, I want to rbind. Thanking you, Yours sincerely, AKSHAY M KULKARNI ________________________________ From: R-help <r-help-bounces at r-project.org> on behalf of Jeff Newmiller <jdnewmil at dcn.davis.ca.us> Sent: Sunday, April 9, 2023 11:57 PM To: r-help at r-project.org <r-help at r-project.org> Subject: Re: [R] extracting pdf tables... Sorry, did not

Hi everybody, I've a data.frame "d" like this: 0 2 4 6 8 10 12 14 16 X0 X2 X4 1945 350 NA NA NA NA NA NA NA NA 0.3848451 0.0000000 0.0000000 1946 408 NA NA NA NA NA NA NA NA 1.4202009 0.0000000 0.0000000 1947 511 NA NA NA NA NA NA NA NA 3.2540522 0.0000000 0.0000000 1948 342 215 NA NA NA NA NA NA

Dear Jeff, Thanks for your reply. I have the following: > colnames(IDT[[4]]) [1] "X168" "TATA.MOTORS.LIMITED" "TATAMOTORS" "X4" THe above has to be the first row of IDT[[4]]. The first row is getting parsed as the column name. How do you make that the first row of IDT[[4]]? Thanking you, Yours sincerely,

Hello, I'm having a problem concerning r-binding datasets. I have six datasets, from six different plates, and two different days. I want to combine these datasets together for analysis. Datasets from day 2, have all the same columns than datasets from day 1. However in addition, there are few columns more in day 2. Thus, using rbind for this, results a error, because the objects are not the

Thanks to both Weidong and David for the help! By implementing both of your suggestions I was able to make this work. I did end up putting header=TRUE for both read operations. --Kelly ________________________________________ From: David Winsemius [dwinsemius at comcast.net] Sent: Tuesday, August 30, 2011 1:16 PM To: Vining, Kelly Cc: Weidong Gu; r-help at r-project.org Subject: Re: [R] column