[R] Library(mice) too slow for my dataset

Hi to everyone I have a big dataset (40.000 columns (variables) and 50 rows) I want to impute a lot of  variables  with  library(mice), the problem is that this process is too slow (because of my dataset, the library is brilliant). I am looking some options like Amazon web services, (  http://a

[R] Variable names in plotCI

Hello to everyone, I would like to put the variable names in the x-axis of this plot instead of number 1:63: plotCI(1:num_col_comp,med,2.06*des/sqrt(n),lwd=1,col="red",scol="seashell4",main="Intervalo de confianza",xlab="Variables clínicas",ylab="Intervalo de confianza")abline(h=0, col="yello

[R] Simulating data

Hi to everyone To simulate data I only know this command: rnorm(n , mean, sd)   It exists another way to specify Median and range as well? The point is that I have  this information about the variable: Median: 4.3 Mean: 4.2 SD: 1.8 Range: 0-8 and I need a boxplot, but I don't have the origin

[R] Box plot without original data

Hi to everyone! I need to plot a box plot but I don't have the original data, is it possible to make it just with the median, mean, sd and range of values? Any idea is welcome. Thanks in advance. __ R-help@r-pr

[R] ANOVA repeated mesures

Hi to everyone, I am tring to make a Anova with repeated measures,my data set looks like: participantes <- c("1", "2", "3", "4", "5", "6", "7", "8", "1", "2", "3", "4", "5", "6", "7", "8", "1", "2", "3", "4", "5", "6", "7", "8") grupo <- factor(c(rep("A", 8), rep("B", 8), rep("C", 8)))valor <-

[R] Confidence interval, multiple imputation

Hi to everyone, I have a big data set where rows are observations and columns are variables. It contains a lot of missing values. I have used multiple imputation with library mice and I get an “exact” prediction of each missing value. Now, I would like to know the error I can commit or the confid

[R] colours legend, for loop,density plot

Hi , thanks in advance I have the follow code: normal<-sort(rnorm(1000))cauchy<-sort(rcauchy(1000)) t3<-sort(rt(1000,3))t10<-sort(rt(1000, 10)) col<-c("green","blue","orange","purple") v<-list(normal,cauchy,t3,t10) names(v)<-c("Normal", "Cauchy", "T-stud 3

[R] R Help

Hi everone and thanks for this service, I have a dataset which look like: X. IE.2003 IE.2004 IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010 14560 118958 187 475 571 76410471203 715 807 12737 105571 935 942 917 948 991 861 NA 541

[R] Legend Help

Hi to everyone and thanks for this service. I have a doubt with legend, I have seen ?legend, but I don't get the way to write in my code the legend that I want, This is my code: for( i in 1:4)} pdf(paste("plotImputed", i,".pdf",sep="")) plot(a[,6], type="l", main=paste( "I

[R] Outliers Help

This is my a part of my data set > D[1:15,c(1,5:10)] X. media IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010 1 1108 22.060.0 39 4.0 8.016.0 5.0 2 1479 110.0 NA NA53.0 1166.0 344.8 110.0 3 1591 86.6 247.0 87

[R] Help R

Hi to everyone, I would like to replace some values in a data.frame (D) > str(D) 'data.frame': 116 obs. of 10 variables: $ X. : int 1108 1591 3408 3872 5823 8099 10640 12600 14680 14698 ... $ media : num 22 86.6 807 103.2 73 ... $ IE.2003: num 32 92 166 237 161 ... $ IE.2004: num

[R] Help If

Hi to everyone and sorry for my question, I would like to use IF in an example like this: If((condition1 and condition2) Or (condition 3 and condition4)) {print uhvef} BUt I don´t know how to write it correctly, Thanks in advance [[alternative

[R] R help

Hi everyone, I'm sorry for my questions, I'm sure they are totally stupig, but I am completely new in this program and I am facing this "danger" alone I have done imputation for one part of my data set, however I am not able for doing in general. this is part of my data set (cast2) cast2[1:30

[R] R plot

Hi to everyone, first of all, thanks hor this excellent service. I have a doubt in R, it looks like: I want to get a plot of my data.frame, but I have used the funtion split in this data.frame and I don't know if there exist some function which could help me, I was using for loop. The problem

[R] R help

Hi First of all, thanks for this service, it is being very useful for me. I am new in R so I have a lot of doubts. I have to do imputation in a data set, this is a sample of my data set which looks like: NUMERO Data1 Data2 IE.2003 IE.2004 IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE

[R] Help R

Hi to everyone, first of all thanks for this service, it is being very useful for me, thanks in advance. I am new in R, so I suppose I could make really naive questions, I'm sorry. I have to impute some missing values and I am trying to do it with VIM library trough Hot Deck imputation. I

Re: [R] HELP R

Hi, I did what you have told me but I can not do it well, NUMERO Provincia CENAES IE.2005 IE.2006 IE.2007 IE.2008 29183 Alicante 771142.00046.00055.000 47.00030 479 Alicante 8299 1158.000 476.000 503.000 300.00031591 Alicante

[R] HELP R

Hi, I did what you have told me but I can not do it well, NUMERO Provincia CENAES IE.2005 IE.2006 IE.2007 IE.2008 29183 Alicante 771142.00046.00055.000 47.00030 479 Alicante 8299 1158.000 476.000 503.000 300.00031591 Alicante 812

[R] HELP R

HI everyoneI sent you an e-mail yesterday about apply function, this morning I have done something else but I still having problems, could you help me? Thanks in advance DATOS NUMERO Provincia CENAES IE.2005 IE.2006 IE.2007 IE.2008 29183 Alicante 771142.00046.000

[R] R Help

Hi everyone, I have a dataset which I am handling with R . Unfortunately I have two kinds of empty cells, one corresponds to missing values and the other one is empty because it has to. I ‘m going to put an example (just a part of my dataset ) to try to clarify my question: missing values are r