similar to: data frame to workspace

Hi! Is there a Gui for R with improvements in the command line? I'm not looking for buttons, menus and etc, but (more) colored syntax, auto-complete commands and etc? Best regards, Raphael Saldanha saldanha.plangeo@gmail.com [[alternative HTML version deleted]]

Hi! Is there some R version for flashdisk, pendrive etc ? -- Regards, Raphael Saldanha saldanha.plangeo@gmail.com [[alternative HTML version deleted]]

Hi! I have to import some TXT files into R, but the separation between the columns are made with different blank spaces, but each file use the same separation. Example: 31 104 5 0 11RUA SAO SEBASTIAO 25 BAIRRO FILETO 01

Hi! I have a data.frame, like this one: > data 0-100 100-250 250+ a 9 18 16 b 33 25 27 c 21 19 17 d 25 22 19 e 40 39 19 f 77 45 29 If I request a sample of 2, I have the following: > sample(data, 2) 0-100 250+ a 9 16 b 33 27 c 21 17 d 25 19 e 40 19 f 77 29 How can I request a sample from the

Hi! How can I add labels in the outliers inside a boxplot. Here is my code, at now: mun <- as.data.frame(read.csv2("consolidada_v3.csv")) micro <- mun$nmicro medprop <- mun$medprop mimedprop <- split(medprop, micro) boxplot(mimedprop, col="chartreuse3", main="Área média das propriedades rurais", xlab="Microrregiões", ylab="ha") I

Hi! Using recode in cars package, I tryed to use the following: recode(data$nrcomp, "lo:5='0 to 5'; 5:hi='bigger than 5'") I got: Erro em parse(text = strsplit(term, "=")[[1]][2]) : unexpected end of input in "'0 to 5" When I try only numbers, or only text, it's ok, but when I try to combine numbers and text, I got a error... Any help?

Hi, I am not really familiar with Correlation foundations, although I read a lot. So maybe if someone kindly help me to interpret the following results. I had the following R commands: correlation <-cor( vector_CitationProximity , vector_Impact, method = "spearman", use="na.or.complete") cor_test<-cor.test(vector_CitationProximity, vector_Impact,

Hi! With the following script, I'm trying to make a demonstration of a Confidence Interval, but I'm observing some differences on tails. # Teste de média entre uma amostra e uma população normal # Autor: Raphael de Freitas Saldanha # Agosto de 2008 n <- 200 # Sample size xbar <- 100 # Sample mean s <- 2 # Sample SD nc <- 0.95 # Confidence level (95%

Hi! I had a database with some variables in sequence. Let me say: TX01, TX02, TX03 and TX04. But I need to run some regressions changing the variables... so: variable <- paste("TX0", 1:4, sep="") for(i in 1:4){ test[i] <- lm(variable[i] ~ INCOME, data=database) } But doesn't work... lm tries to find a variable inside database named variable[i] ... Suggestions?

Hi, i'm using this command line with EMD package filename<-emd(y,x,boundary="wave",plot.imf=F) i'd like to know if this EMD uses default values for non-specified arguments. i'm especially interested in "stoprule", "max.imf", "tol" behavior in such cases. Thanks

Hi! In Windows the "win.print" function allows plotting directly to a printer (or copying an open device to the printer). This is very convenient to quickly print a plot once it looks good. Is there an equivalent function under Linux? For example through CUPS, IPP, LPD or other ? Obviously with a printer on the parallel port one could write postscript("/dev/lp0") but what

Dear R experts, Suppose I have an data frame likes this: > example <- data.frame(age=c(1,2,3, 4,5,6), height=c(100,110,120,130,140,150), disease=c(TRUE, TRUE, TRUE, FALSE, FALSE, FALSE)) > example age height disease 1 1 100 TRUE 2 2 110 TRUE 3 3 120 TRUE 4 4 130 FALSE 5 5 140 FALSE 6 6 150 FALSE Is there anyway to compare the age and

Hi, I have a silly question regarding the usage of two commands: read.table and gregexpr： For read.table, if I read a matrix and set header = T, I found that all the dash ("-") becomes dots (".") A = read.table("Matrix.txt", sep = "\t", header = F) A[1,1] # "A-B-C-D". A = read.table("Matrix.txt", sep = "\t", header = T)

Dear R Users, I am writing code to present my output data (I'm using Lattice Package). However, it's essential for me to control space between barchart and legend. I've read the package's specification, but unfortunately I haven't spot the information how to do this. Here's the code I've written: barchart(mymatrix[,1:ncol(mymatrix)],horizontal=FALSE,

I am looking for online courses to learn Spatial Statistics using R. Statistics.com is offering an online course in December on the same topic but that schedule doesn't suit mine. Are there any other similar modes for learning spatial statistics using R??? Can someone please advice??? Thank you. Ravi -- View this message in context:

Dear R list As suggested by Prof Brian Ripley, I have tried to read acf literature. The main problem is I am not the statistician and hence have some problem in understanding the concepts immediately. I came across one literature (http://www.stat.nus.edu.sg/~staxyc/REG32.pdf) on auto-correlation giving the methodology. As per that literature, the auto-correlation is arrived at as per following.

Hello all: Friend told me that we can download the stock historical quote from Yahoo site by R! Could you tell me that is true or not, how to do that? Thanks! -- View this message in context: http://r.789695.n4.nabble.com/How-download-Yahoo-Quote-tp3769563p3769563.html Sent from the R help mailing list archive at Nabble.com.

Hi! How can I make a spatial sample? Can someone recommend theorical books and materials for this? -- Raphael Saldanha UFJF - Brazil [[alternative HTML version deleted]]

I have a constant set up like that : ALL_LOCALES => {"it"=>"Italian", "fr"=>"Français", "de"=>"Deutsch", "en- GB"=>"English (UK)", "es"=>"Español (España)", "pt-PT"=>"Português", "pl"=>"Polski", "en-US"=>"English

Hi there, How dovecot move the message to Spam without antispam plugin installed or sieve rule to move to this folder? I have no configuration to do this. My logs: Sep 10 12:12:44 mda02 dovecot: imap(my.user at mydomain.com): Warning: Inotify instance limit for user 5000 (UID vmail) exceeded, disabling. Increase /proc/sys/fs/inotify/max_user_instances Sep 10 12:12:45 mda02 dovecot: imap(my.user