similar to: Error: figure margins too large

Hello All, I am running the following code in RStudio, and I keep on getting an error message that says: "Error in plot.new() : figure margins too large" Is there something that I am doing wrong? # Import Data nba <- read.csv("http://datasets.flowingdata.com/ppg2008.csv", sep=",") nba #Sort Data (sorting by Points, but could be sorting by any other variable)

Greetings. I'm having some trouble constructing a contingency table from raw data (actually read in via RPgSQL). Here's the deal: - What I've got: a data frame in the form: Groupcode code1 code2 code3 code4 code5 .. coden where groupcode is one of {P,C,B,S,U,X} and code{1..n} is TRUE or FALSE. code{1..n} are NOT mutually exclusive, so between 0 and n of them can be TRUE. -

I've been asked, and interested myself: Has anybody implemented the above in R or another S language dialect? We are talking about the algorithms / methodology by Wellner, Groeneboom and Jongbloed, e.g., from the following article @Article{Jongbloed:1998:ICM, author = "Geurt Jongbloed", title = "The Iterative Convex Minorant Algorithm for

I was wondering how to configure the puppet clients to only listen, not to periodically pull configs down from the puppetmaster. I''d rather push the configs out from the puppetmaster with puppetrun... At a guess I need to set runinterval to 0 in /etc/puppet/puppet.conf? -- You received this message because you are subscribed to the Google Groups "Puppet Users" group. To post

On a typical embedded Linux device, with no MMU, there is no fork() or it returns ENOSYS. The nearest replacements are vfork() (which is only useful before exec*()), or to create threads with pthread_create(). rsync would be a very useful program on such devices, and I was a bit disappointed to build it, only to find the compile went fine but it failed at runtime due to ENOSYS. Is there any

Hello! I am aggregating using a formula in aggregate - of the type: aggregate(cbind(var1,var2,var3)~factor1+factor2,sum,data=mydata) However, I actually have an object (vector of my variables to be aggregated): myvars<-c("var1","var2","var3") I'd like my aggregate formula (its "cbind" part) to be able to use my "myvars" object. Is it

Hello everyone, I am attempting to write a function to count the number of non-missing values of each column in a data frame using the sapply function. I have the following code which is receiving the error message below. > n.valid<-sapply(data1,sum(!is.na)) Error in !is.na : invalid argument type Ultimately, I would like for this to be 1 conponent in a larger function that will produce

Hi All, i have searched the web for a simple solution but have been unable to find one. Can anyone recommend a neat way of deleting multiple variable? I see, i need to use dataframe$VAR<-NULL to get rid of one variable, In my situation i need to delete all vars between two points. I've used the 'which' function to find these out and have assigned to myvar >myvars [1] 2 17 but

All, I believe I am running the latest version of rshape2 (1.2.1). But this code: library(reshape2) tmp <- melt(smiths, id.vars=1:2, measure.vars=c("age","weight","height"), variable.name="myvars", value.name="myvals" ) names(tmp) Produces this output: > names(tmp) [1] "subject" "time"

Hi All.... I''ve got this configuration to manage bind, I want the exec to be run whenever anything under /var/named or the file /etc/named.conf gets updated.... file { "/etc/named.conf": owner => root, group => root, mode => 0644, require =>

Hi I have a problem for which I would like to know a solution. I have a gene expression data and I would like to choose only lets say top 200 genes that had the highest expression variance across patients. How do i do this in R? I tried x=apply(leukemiadata,1,var) x1=x[order(-1*x)] but the problem here is x and x1 are numeric data , If I choose the first 200 after sorting in descending, so I

Hello! I have a data set: set.seed(123) y<-data.frame(week=seq(as.Date("2010-01-03"), as.Date("2011-01-31"),by="week")) y$var1<-c(1,2,3,round(rnorm(54),1)) y$var2<-c(10,20,30,round(rnorm(54),1)) # All I need is to create lagged variables for var1 and var2. I looked around a bit and found several ways of doing it. They all seem quite complicated - while in

Dear Samba team Well im a linux/java programmer of IT Company in indonesia,ive been using samba for almost 5 years , right now i have to join my linux system into domain PDC (NT system) .. well its all ok , then i have to share something in ours user home,i have allready done , everything is ok before i set many valid user on my share .. here is my share definition in smb.conf

Hello! I wrote a code that works, but it looks ugly to me - it's full of loops. I am sure there is a much more elegant and shorter way to do it. Thanks a lot for any hints! Dimitri # I have a data frame: x<-data.frame(group=c("group1","group2","group1","group2"), myweight=c(0.4,0.6,0.4,0.6),

Hello, The application ChairGun2 can't be started up. When starting it shows the mistake: Code: Run-time error ?429? ActiveX conponent can?t create object Wine version 1.2.3 for Cent OS 6.2. is used. This application also didn't work on older versions. What should I do? How to solve the problem? Download ChairGun2: http://turbobit.net/sj18namk8947.html

Dear All, I am new to R, I have one question which might be easy. I have a large data with more than 250 variable, i am reducing number of variables by redun function as in the example below, n <- 100 x1 <- runif(n) x2 <- runif(n) x3 <- x1 + x2 + runif(n)/10 x4 <- x1 + x2 + x3 + runif(n)/10 x5 <- factor(sample(c('a','b','c'),n,replace=TRUE)) x6 <-

Dear R listers, I am learning the MLE utility optim() in R to program ordered logit models just as an exercise. See below I have three independent variables, x1, x2, and x3. Y is coded as ordinal from 1 to 4. Y is not yet a factor variable here. The ordered logit model satisfies the parallel regression assumption. The following codes can run through, but results were totally different from what I

Hi, I'm a total beginner in R and this question is probably very simple but I've spent hours reading about it and can't find the answer. I'm trying to reshape a data table from long to wide format. I've tried reshape() and cast() but I get error messages every time and I can't figure why. In my data, I have the length of two fish from each family. My data table (called

I am so happy about learning how to read in multiple Excel files, that I have to try and make another improvement. I know what I have been doing is clumsy, but it works. Hopefully, someone can suggest a more elegant solution. As a novice, I have been using MS-Word and mail merge to write my code. I start with about 2 pages of code, and end up with 2,220 merged pages that I copy and paste into R.

Dear R-ers, I have a loop below that loops through my numeric variables in data frame x and through levels of the factor "group" and multiplies (group by group) the values of numeric variables in x by the corresponding group-specific values from data frame y. In reality, my: dim(x) is 300,000 rows by 100 variables, and dim(y) is 120 levels of "group" by 100 variables. So, my