similar to: exclude1 in summary.formula from Hmisc

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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

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

Several updates have been made to the Hmisc package: Changes in version 3.16-0 (2015-04-25) * html.contents.data.frame: corrected html space character to add semicolon * ggplot.summaryP: added size of points according to denominators * colorFacet: new function * labelPlotmath: added chexpr argument (used by rms::ggplot.Predict) * rcsplineFunction: added

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

Dear R-users, I'm trying to export object taulu3 from R to a text file (separated with semicolon). Object taulu3 is made with summary.formula in Hmisc package: taulu3 <- summary(sp ~ pdg_newtext, data=tr_ekahj, method="reverse", overall=TRUE) class(taulu3) [1] "summary.formula.reverse" When I try to export the object taulu3, I get the following error message:

Hello, Can summary.formula.reverse be customized to allow other summary statistics to be reported rather than the quartiles and mean +/- sd? The "fun" option apparently doesn't apply when method='reverse' Thanks -- Abhijit Dasgupta, PhD Statistician | Clinical Sciences Section | NIAMS/NIH

Dear all, I?m specifying the fisher.exact test for use with summary.formula as follows: u<-function(a,b){ j<-fisher.test(a) p<-list(P=j$p.value,stat=NA,df=NA,testname=j$method,statname="") return(p) } However I?m also required to specify stat & df. However this doesnt apply to the fisher test. I?ve tried specifying them as NA and "" without

Hello, Warning, I'm guessing only those who have used the Hmisc package's summary.formula function with LaTeX will be able to offer much help here. I am using the Hmisc package's summary.formula function to produce tables for a LaTeX report. The "latex" function in the same package supports longtables in LaTeX. Ideally, I would like for page breaks in the LaTeX output

Dear useRs, When I'm using Hmisc's latex() function with ctable=TRUE on a summary.formula with method="reverse" object and saving in a .tex file, the latter contains an unwanted empty line which makes compilation fail. Here is a brief example : library(Hmisc) test <- data.frame(a=sample(1:30,10),b=sample(c("good","bad","ugly"),10,replace=T))

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

Hello, I have been using the Hmisc package's deff() command for some research with clustered data. I noticed that the formula to calculate the design effect seems a bit different. The formula for the DE is: 1 + rho*(B - 1) In most resources I have seen the formula for B to simply be the average number of observations in a cluster: n/k if n is the total sample size and k is the number of

Hello, In the Hmisc package, functions describe and summarize can explicitly take a weight variable. My question is can a weight variable be applied when using 'summary'? For example, using...summary(var1 ~ var2) I would like to weight the data by var 3 (same length). Is this possible? Thanks a lot. Greg Blevins The Market Solutions Group, Inc.

Hi, I have a set of 30 binary variables measuring side effects after drug treatment. Since each subject can have multiple side effects, I want to display these side effects in a multiple choice table. I'm using the summary and mChoice functions of the Hmisc package, because it produces nicely formatted latex tables. My problem is, that table includes a category for people who have at

Dear all, With the latest update of Hmisc I no longer have any problems with latex. However using the ctable option produces latex code that at least on both the miktex distribution at work and mactex distribution at home refuses to run due to an extra blank line inserted between the multicolumn lines in the latex code... It runs fine if the line is deleted or if the ctable option is left out.

Question 1) I am using the summary.formula function, from the Hmisc, package, to construct a table of the mean establishment rates of multiple plant ecotypes. I do not want the count (N) columns included in the table. Is there a way to suppress that statistic? Question 2) The table will have multiple columns, each representing a different location. Is there a way to include Tukey's HSD at

Hello, I am using the summary.formula function in the Hmisc package to produce tables. With the "method" argument set to "response", the help says, "Continuous independent variables (see the ?continuous? parameter below) are automatically stratified into ?g? (see below) quantile groups". By my reading, this makes it impossible to summarize a continuous variable

Hi there! I need to generate a final general linear model from a set of coefficients of the variables within the summary function. When I have the summary-function, HOW do I create a final model (response variable = bla bla bla)? LordSword -- View this message in context: http://r.789695.n4.nabble.com/From-summary-function-to-formula-tp4648008.html Sent from the R help mailing list archive at