similar to: Version 3.16-0 of Hmisc now on CRAN

Hmisc 4.0-0 is now on CRAN. The package has undergone a massive update. The most user-visable changes are; - support for Rmarkdown html notebooks - advanced html tables using the htmlTable package and summaryM function; can copy and paste into word processors - support for plotly interactive graphics, e.g. options(grType='plotly') plot(describe(mydata)) - new function

Hmisc 4.0-0 is now on CRAN. The package has undergone a massive update. The most user-visable changes are; - support for Rmarkdown html notebooks - advanced html tables using the htmlTable package and summaryM function; can copy and paste into word processors - support for plotly interactive graphics, e.g. options(grType='plotly') plot(describe(mydata)) - new function

Dear Users, Still having troubles with sharing my results, I'm trying to display a contingency table using summary.formula. Computing works well but I'd like to display information on redundant entries say, males AND females. I wonder if this code is correct : desqualjum <- summary.formula(varqual1$X ~., data = subset( varqual1, select = -X), method = "reverse", overall =

I have seen two main styles in examples for using rsync with exclude-from. The first is simply a list of filename, one per line. The second is a list of filenames, one per line, prefixed with either a - or a + to indicate exclude/include. Which is correct? Also, none show the correct style with a filname containing spaces, though I assumed quoting is OK Exclude1.txt: - filename1 - ?file name

I'm hoping someone with some experience generating tables in Sweave will be able to solve this problem for me. I'm experiencing some inconsistency with the way floating point numbers are displayed -- for some tables, they will be in standard notation, e.g. 11±26 while in others, it uses exponential notation, e.g. 1.1e+01±2.6e+01 I am using code such as the following; note I have

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Hello, I am using Hmisc summary.formula, latex and Sweave to produce tables for publication. Is it possible to change the formats for binary and continuous variables? I would prefer to show 35 (10%) and 1.5 (1.2-1.8) rather than 10% (35) and 1.2 / 1.5 / 1.8. Here is a simple example: sex <- factor(sample(c("m","f"), 500, rep=TRUE)) age <- rnorm(500, 50, 5) treatment

Hi, I have a dataset which has a categorical variable "R",a count variable C (integer) and 4 or more numeric variables (A,T,W,H - integers) containing measures for "R". I would like to summarize each level of the variable R by the average for A,T,W and H. I have written a function to calculate weighted averages using C as the weight and this is given below. The function

Hello Everyone,   I have just started learning R and am in the process of figuring out what it can and can't do. I must say I am very impressed with R so far and am amazed that something this good can actually be free.   Recently, I finished reading R for SAS and SPSS Users and have begun reading SAS and R and Data Manipulation with R. Based on what I've read in these books and elsewhere,