similar to: from list to dataframe

I'm generating a list of files to sync, and would like all the files not in my list to be deleted from the destination. I thought that --delete-missing-args would do just that, but it doesn't delete anything. Would someone have an idea of what I'm doing wrong? This is what I tried : ~$ mkdir -p /tmp/source /tmp/dest ~$ for i in {1..3}; do echo "keep $i"      >

Thank you Kevin. It seems that I misunderstood the purpose of this --delete-missing-args option. If someone has a good suggestion on how to rsync a list of files and delete from the destination any file that is not listed in --files-from, that would be welcome. Thanks, MI -------- Original Message -------- (Kevin Korb via rsync, 2019-04-23 14:11) > --files-from will delete files from

I have a set of data frames ds1, ds2, ... each having the same columns and column names: ds1 <- data.frame(x=c(1,2,3,4), y=c(5,6,7,8)) ds1 <- data.frame(x=c(9,10,11,12), y=c(13,14,15,16)) ... and I would like to combine them into just one data frame like ds <- rbind(ds1, ds2, ...) Because there are so many of them, I will have to use a character array nms <-

Hi, I was taken off guard by the following behavior in a lattice plot. I frequently want to add a predicted curve defined at more points than in the formula expression of xyplot. There have been numerous examples of how to do this on r-help, but I still often struggle to make this work. I just realized that specifying one of the axes on a log scale does not guarantee that the added data for a

Hello R users, When trying to fit a nonlinear mixed model to a respiration time series, I get the following error message: Error in recalc.varFunc(object[[i]], conLin) : dims [product 30] do not match the length of object [34] In addition: Warning message: In conLin$Xy * varWeights(object) : longer object length is not a multiple of shorter object length Below is an example that generates

Dear R experts, Wish you all a HAPPY NEW YEAR! How do I go about plotting (using lattice) overlays of an ID (group=ID) observed, fitted data in each panel of a multiple panel plot (each panel identified by DS1 + DS2 + DS3)? "x" variable is X1 in the accompanying section of a dataset. each individual is identified by color and Y's are identified by "pch" or "lty".

I am just starting to code in R and need some help as I am used to doing this in SAS. I have a dataset that looks like this: Chemical Well1 Well2 Well3 Well4 BOD 13.2 14.2 15.5 14.2 O2 7.8 2.6 3.5 2.4 TURB 10.2 14.6 18.5 17.3 and so on with more chemicals.... I would like to transpose my data so that it looks like this: Chemical WellID Value BOD Well1 13.2 BOD Well2 14.2 BOD Well3 15.5 BOD

I can't get the PERL subexpression translated to R. Following, for example, B. Ripley's http://finzi.psych.upenn.edu/R/Rhelp02a/archive/58984.html I am using sub, but it looks like an ugly substitute. Assume I want to extract the first alpha part and the first numeric part, but only if they are in sequence. Do I really have to use the sub twice, first extracting the first variable, then

Dear R-help, Can anyone explain the meaning of the warning, Singular precision matrix in level -1, block 1 ? Or how to track down where it comes from? More precisely, using the nlme package, I'm issued with the warning itt2 <- lme(lrna~rx.nrti+lbrna, random=~1|patid, cor=corExp(form=~days|patid,nugget=T), weights=varPower( form=~lbrna),data=rna3) Warning messages: 1: Singular

Dear all, I have a multiline plot with each line labeled with a different letter. But I'm not able to make the legend display the same kind of pattern '-a-', instead the letter is overwritten by the line. A simpler legend with only the letter is not very visible and the pt.bg does nothing with letters. Any idea? plot(1:10,10:1,lty=1,type='b', lwd=2,pch='a')

Dear list member, I have the following data example ke <- data.frame(patid=c(1,1,1,2,3,3),a=c(1,2,2,1,1,2)) I want to add another variable b, such that the max of 'a' by id is returned i.e data ke becomes ke <- data.frame(patid=c(1,1,1,2,3,3),a=c(1,2,2,1,1,2),b=c(2,2,2,1,2,2)) Any help will be appreciated. Oluwakemi [[alternative HTML version deleted]]

Dear R-users! I am using R 1.7.0, under Windows XP. Having some hospital discharge data (admission date and discharge date for each patient), I want to get the number of patients in the hospital on a given date. My data look like (simple example): > x <- data.frame(patid=c("pat1", "pat2"), adm.date = c("15.03.2002", "16.03.2002"),

I have a dataframe that contains fields such as patid, labdate, labvalue. The same patid may show up in multiple rows because of lab measurements on multiple days. Is there a simple way to obtain just the first and last record for each patient, or do I need to write some code that performs that. Thanks, Steven

I am running a two-node web cluster on OCFS2 via DRBD Primary/Primary (v8.3.8) and Pacemaker. Everything seems to be working great, except during testing of hard-boot scenarios. Whenever I hard-boot one of the nodes, the other node is successfully fenced and marked ?Outdated? * <resource minor="0" cs="WFConnection" ro1="Primary" ro2="Unknown"

I''m seeing some pretty pitiful performance using ZFS on a NFS server, with a ZFS volume exported (only with rw=host.foo.com,root=host.foo.com opts) and mounted on a Linux host running kernel 2.4.31. This linux kernel I''m working with is limited in that I can only do NFSv2 mounts... irregardless of that aspect, I''m sure something''s amiss. I mounted the zfs-based

Dear R users, I have a problem with reshaping data. I know such questions have been asked before, but I can't get it right, neither with the reshape function nor with the melt function. My dataset has about 407 variables and about 48000 cases. Each case looks as follows: V1 v2 v3 v4 v5 v6 v7 x1 y1 x2 y2 .... x200 y200 V1 is unique, v2-v7 are

Hi! All, I am trying to fetch rows from a data frame which matches to first 2 columns of another data frame. Here is the example what I am trying to do: > ptable=read.table(file="All.txt",header=T,sep="\t") > ptable=as.matrix(ptable) > dim(ptable) [1] 9275 6 > head(ptable) Gene1 Gene2 PCC PCC3 PCC23 PCC123 [1,]

Hello, I'm pretty new to R. Basically, how do I speed up the for loop below. Or better yet, get rid of the for loop all together. objective: plot two data sets column against column by index. These data sets have alot NA's. Some columns are all NA's. I need the plots to overlay. I don't like the plots in matplot(). Needs to be much faster than the code below... #simple sample

Hello, I'm new to R but wan't to use it to compute the statistics of my medical study. The study includes several parameters for a number of patients. Each parameter was assessed by a number of readers, once with a special condition, once without. Now I have a data.frame with colums like: PatientID, ReaderID, SpecialCond(yes/no), Parameter1, Parameter2..... the rows are not sorted, and

Hi, I have a dataset in which I would like to select rows based on matching conditions and return the maximum value of a variable else return one row if duplicate counts exist. My dataset looks like this: PGID PTID Year Visit Count 6755 53121 2009 1 0 6755 53121 2009 2 0 6755 53121 2009 3 0 6755 53122 2008 1 0 6755 53122 2008 2 0 6755 53122 2008 3 1 6755 53122 2009 1 0 6755 53122 2009 2 1 6755