search for: exclude1

...ummary.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 = T, test = T, exclude1 = FALSE) where varqual1 is the data frame containing the variable "sex". I'm using R 2.5.1 and Hmisc 3.4-2 on a Mac (OSX.4, intel) but I had the same trouble with former versions of R and the package. Thank you for your help. David [[alternative HTML version deleted]]

...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 1? Exclude.txt: filename1 ?file name 1? Which of these will exclude both filename1 and ?file name 1? anywhere they appear in the source?

...ginal when computing N in left column of tables * html.latex: added method for htlatex, added where argument, cleaned up code, implemented file='' for knitr when using html/Rmarkdown * summaryM, summary.formula: changed calls to translate to gsub() * summaryP: corrected but in exclude1 logic, moved exclude1 to methods that operate on summaryP objects and out of summaryP itself * addMarginal: respect original levels, add argument margloc * added latticeExtra:: in front of function calls * numeric.string, all.is.numeric: replaced options(warn=-1) with suppressWarnings...

...ginal when computing N in left column of tables * html.latex: added method for htlatex, added where argument, cleaned up code, implemented file='' for knitr when using html/Rmarkdown * summaryM, summary.formula: changed calls to translate to gsub() * summaryP: corrected but in exclude1 logic, moved exclude1 to methods that operate on summaryP objects and out of summaryP itself * addMarginal: respect original levels, add argument margloc * added latticeExtra:: in front of function calls * numeric.string, all.is.numeric: replaced options(warn=-1) with suppressWarnings...

...ses exponential notation, e.g. 1.1e+01±2.6e+01 I am using code such as the following; note I have specified "digits=2". There does not appear to be an argument for notation. latex(tabletwo, file='', where='!h', digits=2, prmsd=TRUE, caption='Time to events', exclude1=FALSE, long=TRUE) This has been driving me insane for a couple hours now, so I'm hoping there is an easy answer. Thanks in advance, cf [[alternative HTML version deleted]]

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...ics and relabels Unique as Distinct The full list of changes is below. You can look at examples of html notebook reports produced using the new Hmisc at http://biostat.mc.vanderbilt.edu/Hmisc . These include interactive plotly graphics. Changes in version 4.0-0 (2016-10-31) * summaryP: fixed exclude1 logic - was not excluding enough levels (inconsistent use of variable names vs. labels) * latexTranslate: any NAs in first argument changed to "" before conversion * minor.tick: added arguments to pass through (thanks: vhorvath) * tests/latexpng.r: test conversion of LaTeX table to png *...

...ics and relabels Unique as Distinct The full list of changes is below. You can look at examples of html notebook reports produced using the new Hmisc at http://biostat.mc.vanderbilt.edu/Hmisc . These include interactive plotly graphics. Changes in version 4.0-0 (2016-10-31) * summaryP: fixed exclude1 logic - was not excluding enough levels (inconsistent use of variable names vs. labels) * latexTranslate: any NAs in first argument changed to "" before conversion * minor.tick: added arguments to pass through (thanks: vhorvath) * tests/latexpng.r: test conversion of LaTeX table to png *...

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,