similar to: Using PrettyR to produce LaTeX output

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",

Hello, Say I have 2 columns, bmi and gender, the first being all the values and the second being male or female. How would I subset this into males only and females only? I have searched these fora and read endlessly about select[] and split() functions but to no avail. Also the table is not ordered. bmi gender -> bmi gender + bmi gender 1 24.78 male

I am trying to replicate the SAS proc univariate in R. I got most of the stats I needed for a by grouping in a data frame using: all1 <- ddply(all,"ACT_NAME", summarise, mean=mean(COUNTS), sd=sd(COUNTS), q25=quantile(COUNTS,.25),median=quantile(COUNTS,.50), q75=quantile(COUNTS,.75), q90=quantile(COUNTS,.90), q95=quantile(COUNTS,.95), q99=quantile(COUNTS,.99) )

Hi, Im having trouble creating the following graph. Here is my code: library(plotrix) library(prettyR) female_improvement <-read.table("C://project/graphs/gender/breakdown/gender-improvement/female-improvement.csv", sep=",", header=TRUE) barp(rbind(rep(length(female_improvement$gender),2),freq(female_improvement$reason)[[1]]), ylab="22 Males participated in the

Hi all, I have finally gotten the prettyR package going (many thanks to Kurt Hornik for his patience). prettyR is a set of functions that allows the user to produce HTML output from R scripts. Given an R script that runs properly, an HTML listing complete with embedded graphics can be produced simply by passing the script to the core function htmlize (Phillipe Grosjean has not only offered

Hi Everybody I need to create a lot of frequency tables with frequencies and percentages (and cumilative freq and % as well) for a report. freq() in prettyR give more or less what I need. I am trying to export the result of freq() to html but the html doesn't look look the console output. See the following example library(prettyR) library(Hmisc) x <- matrix(sample(1:3, 12,

Hi all, does anyone have any practical examples of how this command can be used in prettyR? add.value.labels(x,value.labels) I mean, can we have the SPSS style of using numbers and/or labels if we want to? Thank you for your time Jason Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006

Dear list, I have a problem with freq from prettyR. Please have a look at my syntax with a litte example: library(prettyR) #Version 1 test.df<-data.frame(q1=sample(1:4,8,TRUE), gender=sample(c("f","m"),8,TRUE)) test.df freq(test.df) #No error message #Version 2 test.df<-data.frame(gender=sample(c("f","m"),8,TRUE), q1=sample(1:4,8,TRUE)) test.df

Hi folks, Both plotrix and prettyR have been updated. plotrix now has the "Matlab" style dotplot that was requested not long ago on the list, provided by that intrepid duo, Barry Rowlingson and Rolf Turner. Mike Cheetham has contributed an implementation of the Piper diagram, also in response to a request. prettyR has finally learned how to display SPSS value labels in the xtab and

Hello, I am very happy that I have Sweave and R to write my papers. But I still have to do some tables by hand since I have not found out how I can customize the latex tables produced by R further (I mainly use xtable()). Like for instance, I have a table which needs an extra row every few rows as a group header and sometimes I want some extra horizontal lines in the table and also a multicolumn

Hello, I've been trying to use odfWeave and prettyR packages to create documents with both text and graphs, but so far I haven't been very lucky... With the function R2html () in prettyR package, when I try to use a source file, which works perfectly if I run it directly form R using "source("file")", it works for the first part and then it makes a mess, i guess

I am using the describe function in prettyR. I would like to add the 25% 75% quartiles to the summary table how do I do this I have tried describe(x.f, num.desc=c("mean", "median", "sd", "min", "max", "skewness", "quantile(x.f, na.rm=T, probs=seq(0.25, 0.75))", "valid.n")) help -- Let's not spend our time

# Dear list, # I am an R-beginner and # spent the last days looking for a method to insert tables produced # with R into a word document. I thought about SPPS: copy a table from # an SPO-file and paste it into a word document # (if needed do some formatting with that table). # Annother idea was, to produce a TEX-file, # insert it and make it a word-table. # I found the following libraries, which

Dear list readers, I want to: 1. Get a table of basic descriptive statistics for my variables with the variable names one below the other like SPSS descriptive statistics: Varname N Min Max Mean SD xxxx x x x x x xxx x x x x x .... 2. Delete some variables from a data frame or exclude variables from beeing analyzed. 3. Create a text file / redirect the terminal output to a

Hi All, I'm a SAS user but I'm very much interested in learning R. I use ODS system in SAS to make nice frequency tables. Is it possible to export the output of table() [in TABULAR FORM]? So, that I can use those directly for publications? Thank you. # R Code: library(datasets) Orange summary(Orange) # outputing this, not as it is, but in table for. is it possible? ~Kim [[alternative

I have a dataset in "long" format that looks something like this: ID TEST RESULT 1 A 17 1 A 12 1 B 15 1 C 12 2 B 8 2 B 9 Now what I would like to do is transpose it like so: ID TEST A TEST B TEST C 1 17 15 12 1 12 . . 2

Hi: How do I select different variables from a list of data frames. I have a list of 13 that looks like below. Each data frame has more variables than I need. How do I go through the list and select the variables that I need. In the example below, I need to get the variables "a", and "q10" and "q14" to be returned to two separate data frames. Thank you. Yours, Simon

Hi all, I'm noting the appearance of new versions of plotrix and prettyR as I found a bug in the "brkdn" function that messed up the order of "value.labels" if they had been imported from an SPSS data file. For anyone using "brkdn", please upgrade to the new version of prettyR (1.3-5) if you are importing SPSS data files. If anyone discovers other problems,

The idea is that one wants to write the line of code below in a general way which works the same whether you specify ix as one column or multiple columns but the naming entirely changes when you do this and BOD[, 1] and transform(BOD, X=..., Y=...) or other hard coding solutions still require writing multiple cases. ix <- 1:2 transform(BOD, X = BOD[ix] * seq(6)) On Tue, Jul 24, 2018 at

I was up late last night, and i had a thought on peeling that would probably provide 100% accurate peeling data to a decoder, but take a maximum of 1101 times normal time to encode (taking into account the range from q-1 to q10 ). ay you want to encode a track at q10, but you want it to be peelable. the 1101 encoder would encode from the source at every quantifiable level (since there are 2