similar to: arguments must have same length

The subject line says it all. How can I find what Error: cannot set length of non-vector means? RTFS is no help. I can find out of course that it comes from "lengthgets", but who called that? Not me! The situation is as follows. I am trying to get a package ready for CRAN. Every time I run "R CMD check" I get this error when building the package vignette. But (!)

Hi- I tried to read the table bellow (table goes on with 54 rows) with the read.table > AGE MONTH SEX HEADLEN HEADWTH NECK LENGTH CHEST > WEIGHT > 19 7 1 11.0 5.5 > 16.0 53.0 26.0 80 > 55 7 1 16.5

Hi, anyone up in the night working? Thanks for being there. I'm getting this error message "arguments must have the same length." Can't seem to straighten it out. Any suggestions? Thanks so much! PS I saw that someone asked a similar question, but I don't see that anyone had posted a reply... -- Shari Kay Hunter 612-250-9252(cell) [[alternative HTML version deleted]]

Hi, How to rbind these vectors from a list?: > l <- list(a = c(1, 2), b = c(1, 2, 3)) > l $a [1] 1 2 $b [1] 1 2 3 > do.call(rbind, l) [,1] [,2] [,3] a 1 2 1 b 1 2 3 Warning message: In function (..., deparse.level = 1) : number of columns of result is not a multiple of vector length (arg 1) > -J

Hi Chris, Maybe the na.rm=TRUE is affecting things. Try this apply(datTAF[,75:78],2,function(x){ sum(!is.na(x)) }) HTH, Eric On Tue, Sep 26, 2017 at 9:53 AM, Chris Evans <chrishold at psyctc.org> wrote: > I am hitting an odd message "Error in FUN(newX[, i], ...) : all arguments > must have the same length". I can't supply the data as it's a huge data > frame

Hello! I have something like this: test1 <- data.frame(intx=c(4,3,1,1,2,2,3), status=c(1,1,1,0,1,1,0), x1=c(0,2,1,1,1,0,0), x2=c(1,1,0,0,2,2,0), sex=c(0,0,0,0,1,1,1)) and I can easily fit a cox model: library(survival) coxph(Surv(intx,status) ~ x1 + x2 + strata(sex),test1) However, I want to

I am hitting an odd message "Error in FUN(newX[, i], ...) : all arguments must have the same length". I can't supply the data as it's a huge data frame but I think this has enough diagnostic information to show the issue. I am sure I am missing something obvious. I've put some extra comments in but otherwise this is cut and pasted from Rstudio. ### I wanted a table of the

Greetings: I'm going to encourage some students to try Bayesian ideas for hierarchical models. I want to run the WinBUGS and R examples in Tony Lancaster's An Introduction to Modern Bayesian Econometrics. That features MS Windows and "bugs" from R2WinBUGS. Today, I want to ask how people are doing this in Linux? I have found a plethora of possibilities, some of which are not

WUA_table<-WUA.df[,2:dim(WUA.df)[2]] WUA_discharge<-WUA.df[,1] colour_scheme<-palette(rainbow(dim(WUA_table)[2])) # Main scatterplot p1 <- ggplot(NULL, aes(WUA_discharge,WUA_table)) + geom_line() + scale_color_manual(values=colour_scheme)+ scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0)) + expand_limits(y = c(min(WUA_table) -

* Please cc me if you reply as I am a digest subscriber * Hi, I am wondering how I can run a multilevel survival model in R? Below is some of my data. > head(bi0.test) childid famid lifedxm sex age delta 1 22.02 22 CONTROL MALES 21.36893 0 2 13.02 13 MAJOR MALES 21.18001 0 3 64.02 64 CONTROL MALES 20.09377 0 4 5.02 5 CONTROL FEMALES

Full_Name: Barnet Wagman Version: 63.2 OS: Linux Submission from: (NULL) (207.229.172.168) After a number of interations, glm(family=binomial) throws an error 'Error: names attribute must be the same length as the vector' The same model works in lm() with the same data frame, so presumably it is not misspecified. In the iterations prior to the error, glm() generates the warnings

Hello. I am using the 4.2 version of the wavethresh package available from here: http://www.stats.bris.ac.uk/~wavethresh/ trying to follow the book of Nason (http://www.springer.com/978-0-387-75960-9). I am interested in the analysis of several years time series of daily data with wavelets methods. But the functions of this package only accept data whose lengths are power of two, even for

I have met into this problem when I tried to run panel regression by plm. My code: library(plm) indus <- read.csv(file="full.csv",header=TRUE) industry<-as.data.frame(indus) reg<-lm(LnTSO2 ~ LnPGDP + LnPGDP2 + LnSOES + LnCOES + LnLIMD + LnSHOLD + LnPRIV + LnFIEs + LnEXP + LnIMP + LnLEXRE + LnVALTAX + LnIND1 + LnIND2 + LnIND3 + LnIND4 + LnIND5 + LnIND6 + LnIND7 +

My data looks like: A,B,C,D,Class 1,2,0,2,cl1 1,5,1,9,cl1 3,2,1,2,cl2 7,2,1,2,cl2 2,2,1,2,cl2 1,2,1,5,cl2 0,2,1,2,cl2 4,2,1,2,cl2 3,5,1,2,cl2 3,2,12,3,cl2 3,2,4,2,cl2 **The steps followed are: trainfile <- read.csv("TrainFile",head=TRUE) datatrain <- subset(trainfile,select=c(-Class)) classtrain <- (subset(trainfile,select=Class)) rf <- randomForest(datatrain, classtrain)

Does anyone know where I can download the latest version of Sweave.sty? I have looked all over the site http://www.stat.umn.edu/~charlie/Sweave/ with no luck.

Anyone knows hat might be the cause of this error? Thanks for any help! >library(MASS) > dif.mns = function(x2,tr1=.2,tr2=.3){ + #generates four different 'means' using + #difference scores from x2, an n x 2 matrix + #for use w/ bootstrap comparisons + diffs = apply(x2,1,diff) + mn1=mean(diffs) + mn2=mean(diffs,tr=.2) + mn3=mean(diffs,tr=.3) +

Greetings, I would like to flexibly combine several data frames objects without specifying the exact names of the objects in memory. Should I use indexing to call those objects out of memory? I regularly use indexes to flexibly extract parts of data frames and lists and to read files from my hard drive, but I can't figure out how to do so with stored objects. In my case, all of the data

On Wed, Jan 6, 2016 at 10:36 AM, Graham Allan <allan at physics.umn.edu> wrote: > On 01/06/2016 09:53 AM, Graham Allan wrote: > >> >> The packet dump is a good idea. I get the same failure using straight >> SSL to port 636, but wireshark might be able to decode any StartTLS >> negotiation attempt on the default port. Failing that I guess I'll >>

Hi everybody, When I followed a practice example, I got an error as follows: ######################################################################## ####################################### > cc<-read.table('example5_2.dat',header=TRUE) > cc EXAM1 EXAM2 EXAM3 EXAM4 EXAM5 1 45 34 23 35 50 2 23 36 66 66 34 3 67 59 72 80 69 4 56

Hi, I'm trying to follow the suggestions given by Deepayan Sarkar in this message: http://tolstoy.newcastle.edu.au/R/help/05/11/16135.html to plot 3-D points on a wireframe plot. The problem is that I keep getting a partly formed plot- with the colored lattice visible but no axis labels or additional points- with the error message "error using packet 1, 'x' and 'units'