similar to: merge a list of data frames

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

Hi, I want to merge 4 data frames with one column in common but I am getting error message while using this function. Can any one help me out. > merge_all(Br,Ki,Lu,Pr,by="Genes") Error: could not find function "merge_all" I have installed the package: reshape but I still get this error -- View this message in context:

Dear All, I am trying to create a empty structure that I want to fill gradually through the code. I want to use something like rbind to create the basic structure first. I am looking for a possibility to do an rbind where the columns names dont match fully (but the missing columns can be defaulted to either zero or n/a) (my actual data has a lot of columns). Please see the data frames below I

Hi R users, Can anyone share some example code using merge_all (from the reshape package) to merge 10 data frames into 1 file. Thanks in advance for any help! -- View this message in context: http://www.nabble.com/Merge-10-data-frames-with-3-id-columns-that-are-common-to-all-data-frames-tp22402493p22402493.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I wish to merge 24 .csv files, each having a common identifier-column ("Name") and do two things: 1. Retrieve the common one's. [Analogy: while merging 2-dataframes, similar to using: merge (.... ,by="Name", all=FALSE) ] 2. Retrieve all, i.e., the union of the rows of 24 files. [again, somthing like: merge (.... ,by="Name", all=TRUE) ] On the web,

Hi, I've got a bunch of datasets (each has an "ID" column) that I'd like to merge into one big datasets. After a google search I found http://tolstoy.newcastle.edu.au/R/help/05/08/11131.html . However, I'm wondering if there is an easy way to do this as I've got about 12 datasets to be merged (all in the same format: an "ID" column and a "Frequency"

Well pointed out, Jim! It is infortunate that the documentation for options(digits=...) does not mention that these are *significant digits* and not *decimal places* (which is what Joshua seems to want): "?digits?: controls the number of digits to print when printing numeric values." On the face of it, printing the value "0,517" of 'ccc' looks like printing 4

R version 3.5.0 (2018-04-23) -- "Joy in Playing" Platform: x86_64-pc-linux-gnu (64-bit) options(digits=3) itemInfo <- structure(list("aaa" = c(1.39633732316667, 1.32598263816667, 1.11658324066667, 1.23651072616667, 1.05368679983333, 1.03100737383333, 0.9630728395, 0.7483865045, 0.620086646166667, 0.5411017985, 0.496397607833333, 0.459528044666667, 0.427877047833333,

Hi Joshua, Because there are no values in column ddd less than 1. itemInfo[3,"ddd"]<-0.3645372 itemInfo aaa bbb ccc ddd eee skill 1.396 6.225 0.517 5.775 2.497 predict 1.326 5.230 0.462 5.116 -2.673 waiting 1.117 4.948 NA 0.365 NA complex 1.237 4.170 0.220 4.713 5.642 novelty 1.054 4.005 0.442 4.260 2.076 creative 1.031 3.561 0.362 3.689

>>>>> Ted Harding >>>>> on Thu, 31 May 2018 07:10:32 +0100 writes: > Well pointed out, Jim! > It is infortunate that the documentation for options(digits=...) > does not mention that these are *significant digits* > and not *decimal places* (which is what Joshua seems to want): Since R 3.4.0 the help on ?options *does* say

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Dear all, I want to read in 1000 files which contain varying number of columns. For example: file[1] contains 8 columns (mixture of characters and numbers) file[2] contains 16 columns etc I'm reading everything into one big data frame and when I try rbind, R returns an error of "Error in rbind(deparse.level, ...) : numbers of columns of arguments do not match" Below is my

I am trying to use t.test on the following data: date type INTERVAL nCASES MTF SDF MTO SDO nFST MF nOBS MO MB BIASCV BIASEV ME MAE RMSE CRCF 2001-06-15 avn GE1.00 4385 0.246 0.300 1.502 0.556 1367 1.373 4385 1.502 1.471 0.285 0.164 -1.256 1.266 1.399 0.056 2001-06-15 avn

Hi Ashish, On 09/02/15 17:50, Ashish Yadav wrote: > Hi, > > On Sun, Feb 8, 2015 at 11:23 AM, Graeme Russ <gruss at tss-engineering.com > <mailto:gruss at tss-engineering.com>> wrote: > > Hi All, > > I've configured a Fedora 20 server with samba to share a few user > directories and a printer. > > From a Windows 8 laptop, I am able

With rw2010dev I get a strange protect(): protection stack overflow error with a small data frame which otherwise is usable: If anybody wants to have a look I can provide an RData file with the problematic data frame. Doesn't seem to be necessary, the following simulated example generates the error: > testmat <- matrix(1:80, 20,4) > dim(testmat) [1] 20 4 > str(testmat) int

Hi all, I'm seeing this failure on my PPC G4 box running TOT with llvm-gcc 4.2. Is anyone else seeing this? I'm sure it's related to the byval stuff that's recently gone into LLVM. I'm attaching the output of this command: $ llvm-gcc -emit-llvm -O3 -S -o - -emit-llvm /Users/wendling/llvm/ llvm.src/test/CFrontend/2008-01-25-ByValReadNone.c As you can see in it, there

Dear users, I'm quite a new french R-user, and I have a problem about doing a correlation matrix. I have temperature data for each weather station of my study area and for each year (for example, a data file for the weather station N?1 for the year 2009, a data file for the N?2 for the year 2010, ....). So I have 70 weather stations with one data file per year since 2005. Each station has 4

My internal lan is small, 100mb, all wired. aastra phones. sip show peers ....... 142/... 10.10.10.42 D A 5060 OK (136 ms) 144/... 10.10.10.44 D A 5060 OK (138 ms) 145/... 10.10.10.45 D A 5060 OK (133 ms) But pings are < 1ms: ping 10.10.10.42 ........ rtt min/avg/max/mdev = 0.479/0.483/0.497/0.021 ms Why are the sip latencies so

I have a data frame called "pose": DESCRIPTION QUANITY CLOSING.PRICE 1 WHEAT May/10 1 467.75 2 WHEAT May/10 2 467.75 3 WHEAT May/10 1 467.75 4 WHEAT May/10 1 467.75 5 COTTON NO.2 May/10 1 78.13 6 COTTON NO.2 May/10 3 78.13 7 COTTON NO.2 May/10 1 78.13

Hi, I am getting a warning message when I am fitting a generalized linear mixed model (m1.2 below). CHOLMOD warning: matrix not positive definite Error in objective(.par, ...) : Cholmod error `matrix not positive definite' at file:../Supernodal/t_cholmod_super_numeric.c, line 614 Any idea? Thanks for your help, Reza > sessionInfo() R version 2.4.1 (2006-12-18) i386-pc-mingw32