Gmisc (version 1.8.1)

mergeDesc: Prepares a matrix for htmlTable from a list

Description

By putting all the output from the getDescriptionStatsBy into a list, naming each element that we want in an rgroup we can automatically merge everything and create an object ready for the htmlTable.

Usage

mergeDesc(..., htmlTable_args = list(css.rgroup = ""))

Arguments

...

One or more elements coming from getDescriptionStatsBy. You can also provide pure output from the getDescriptionStatsBy function and have the function merge this together with the ... argument. Note that all elements myst have the same by argument or you will not be able to merge it into a list.

htmlTable_args

Any arguments that should be passed to htmlTable function. The default is to remove any css formatting for the rgroup.

Value

matrix Returns a matrix object of class descList

The <code>rgroup</code> value

The value for the rgroup is by default the name of the list element. If you have passed a list without a name for that particular element or if you have passed a matrix it will look for a label set by the Hmisc::label function. For those elements that have only one row no rgroup is set, and the naming sequence is the same as above but with an additional rownames if the previous two turn out empty. All this behaviour is exemplified in the example.

The rgroup value can be overridden by simply specifying a custom rgroup when calling the htmlTable function.

The <code>colnames</code> of the matrix

The function chooses the colnames from the first element in the tlist.

Examples

# NOT RUN {
data(mtcars)
# For labelling we use the label()
# function from the Hmisc package
library(Hmisc)

label(mtcars$mpg) <- "Gas"
units(mtcars$mpg) <- "Miles/(US) gallon"

label(mtcars$wt) <- "Weight"
units(mtcars$wt) <- "10<sup>3</sup> kg" # not sure the unit is correct

mtcars$am <- factor(mtcars$am, levels=0:1, labels=c("Automatic", "Manual"))
label(mtcars$am) <- "Transmission"

mtcars$gear <- factor(mtcars$gear)
label(mtcars$gear) <- "Gears"

# Make up some data for making it slightly more interesting
mtcars$col <- factor(sample(c("red", "black", "silver"),
                     size=NROW(mtcars), replace=TRUE))
label(mtcars$col) <- "Car color"

mergeDesc(getDescriptionStatsBy(mtcars$mpg, mtcars$am,
                                header_count = TRUE,
                                use_units = TRUE),
          getDescriptionStatsBy(mtcars$wt, mtcars$am,
                                header_count = TRUE,
                                use_units = TRUE),
          htmlTable_args = list(caption  = "Basic continuous stats from the mtcars dataset"))

tll <- list()
tll[["Gear (3 to 5)"]] <- getDescriptionStatsBy(mtcars$gear, mtcars$am)
tll <- c(tll,
         list(getDescriptionStatsBy(mtcars$col, mtcars$am)))

mergeDesc(tll,
          htmlTable_args = list(caption  = "Factored variables"))

tl_no_units <- list()
tl_no_units[["Gas (mile/gallons)"]] <-
  getDescriptionStatsBy(mtcars$mpg, mtcars$am,
                        header_count = TRUE)
tl_no_units[["Weight (10<sup>3</sup> kg)"]] <-
  getDescriptionStatsBy(mtcars$wt, mtcars$am,
                        header_count = TRUE)
mergeDesc(tl_no_units, tll,
          # Remove the formatting for the groups
          htmlTable_args = list(css.rgroup = ""))


# A little more advanced
mtcars$mpg[sample(1:NROW(mtcars), size=5)] <- NA
getDescriptionStatsBy(mtcars$mpg, mtcars$am, statistics=TRUE)

# Do the horizontal version
getDescriptionStatsBy(mtcars$col, mtcars$am,
                      statistics=TRUE, hrzl_prop = TRUE)

mtcars$wt_with_missing <- mtcars$wt
mtcars$wt_with_missing[sample(1:NROW(mtcars), size=8)] <- NA
getDescriptionStatsBy(mtcars$wt_with_missing, mtcars$am, statistics=TRUE,
                      hrzl_prop = TRUE, total_col_show_perc = FALSE)


mtcars$col_with_missing <- mtcars$col
mtcars$col_with_missing[sample(1:NROW(mtcars), size=5)] <- NA
getDescriptionStatsBy(mtcars$col_with_missing, mtcars$am, statistics=TRUE,
                      hrzl_prop = TRUE, total_col_show_perc = FALSE)


# }
# NOT RUN {
  ## There is also a LaTeX wrapper
  tll <- list(
    getDescriptionStatsBy(mtcars$gear, mtcars$am),
    getDescriptionStatsBy(mtcars$col, mtcars$am))

  latex(mergeDesc(tll),
        caption  = "Factored variables",
        file="")
# }