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PlotXTabs.R
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PlotXTabs.R
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#' Plot a Cross Tabulation of two variables using dplyr and ggplot2
#'
#' Takes a dataframe and at least two variables as input, conducts a
#' crosstabulation of the variables using dplyr. Removes NAs and then
#' plots the results as one of three types of bar (column) graphs
#' using ggplot2. The function accepts either bare variable names or
#' column numbers as input (see examples for the possibilities)
#'
#' @usage PlotXTabs(dataframe, xwhich, ywhich, plottype = "side")
#' @param dataframe an object that is of class dataframe
#' @param xwhich either a bare variable name that is valid in the
#' dataframe or one or more column numbers. An attempt will be
#' made to coerce the variable to a factor but odd plots will occur
#' if you pass it a variable that is by rights continuous in nature.
#' @param ywhich either a bare variable name that is valid in the
#' dataframe or one or more column numbers that exist in the dataframe.
#' An attempt will be
#' made to coerce the variable to a factor but odd plots will occur
#' if you pass it a variable that is by rights continuous in nature.
#' @param plottype one of three options "side", "stack" or "percent"
#'
#' @return One or more ggplots to the default graphics device as well as
#' advisory information in the console
#' @export
#' @import ggplot2 scales
#' @importFrom dplyr group_by summarise %>% count filter mutate
#'
#' @author Chuck Powell
#' @seealso \code{\link[janitor]{janitor}}
#'
#' @examples
#' PlotXTabs(mtcars, am, vs)
#' PlotXTabs(mtcars, am, vs, "stack")
#' PlotXTabs(mtcars, am, vs, "percent")
#' PlotXTabs(mtcars, am, 8, "side")
#' PlotXTabs(mtcars, 8, am, "stack")
#' PlotXTabs(mtcars, am, c(8, 10), "percent")
#' PlotXTabs(mtcars, c(10, 8), am)
#' PlotXTabs(mtcars, c(2, 9), c(10, 8), "mispelled")
#' \dontrun{
#' PlotXTabs(happy, happy, sex) # baseline
#' PlotXTabs(happy, 2, 5, "stack") # same thing using column numbers
#' PlotXTabs(happy, 2, c(5:9), plottype = "percent") # multiple columns RHS
#' PlotXTabs(happy, c(2, 5), 9, plottype = "side") # multiple columns LHS
#' PlotXTabs(happy, c(2, 5), c(6:9), plottype = "percent")
#' PlotXTabs(happy, happy, c(6, 7, 9), plottype = "percent")
#' PlotXTabs(happy, c(6, 7, 9), happy, plottype = "percent")
#' }
#'
PlotXTabs <- function(dataframe, xwhich, ywhich, plottype = "side") {
theme_set(theme_bw())
if (length(match.call()) <= 3) {
stop("Not enough arguments passed... requires a dataframe, plus at least two variables")
}
argList <- as.list(match.call()[-1])
if (!exists(deparse(substitute(dataframe)))) {
stop("The first object in your list does not exist. It should be a dataframe")
}
if (!is(dataframe, "data.frame")) {
stop("The first name you passed does not appear to be a data frame")
}
# process plottype logic -- default is side anything mispelled or not listed is also side
switch(plottype,
side = list(
geom_bar(position = "dodge", stat = "identity"),
ylab("Count")
) -> whichbar,
stack = list(
geom_bar(stat = "identity"),
ylab("Count")
) -> whichbar,
percent = list(
geom_bar(stat = "identity", position = "fill"),
ylab("Percent"),
scale_y_continuous(labels = scales::percent, breaks = seq(0, 1, by = 0.10))
) -> whichbar,
list(
geom_bar(position = "dodge", stat = "identity"),
ylab("Count")
) -> whichbar
)
PlotMagic <- function(dataframe, aaa, bbb, whichbar, dfname, xname, yname) {
dataframe %>%
filter(!is.na(!!aaa), !is.na(!!bbb)) %>%
mutate(!!quo_name(aaa) := factor(!!aaa), !!quo_name(bbb) := factor(!!bbb)) %>%
group_by(!!aaa, !!bbb) %>%
count() -> tempdf
originalcount <- nrow(dataframe)
newcount <- sum(tempdf$n)
missingcount <- originalcount - newcount
tempdf %>%
ggplot(aes_(fill = aaa, y = ~n, x = bbb)) +
whichbar +
ggtitle(sprintf("Crosstab of %s N = %i after removing %i missing cases", dfname, newcount, missingcount),
subtitle = sprintf("Variables %s by %s ", yname, xname)
) -> p
print(p)
}
# If both are bare variables and found in the dataframe immediately print the plot
if (deparse(substitute(xwhich)) %in% names(dataframe) & deparse(substitute(ywhich)) %in% names(dataframe)) { # both are names in the dataframe
aaa <- enquo(xwhich)
bbb <- enquo(ywhich)
xname <- deparse(substitute(xwhich))
yname <- deparse(substitute(ywhich))
dfname <- deparse(substitute(dataframe))
PlotMagic(dataframe, aaa, bbb, whichbar, dfname, xname, yname)
return(message(paste("Plotted dataset", argList$dataframe, "variables", argList$xwhich, "by", argList$ywhich)))
} else { # is at least one in the dataframe?
# Is at least one of them a bare variable in the dataframe
if (deparse(substitute(xwhich)) %in% names(dataframe)) { # xwhich is in the dataframe
aaa <- enquo(xwhich)
if (class(try(eval(ywhich))) %in% c("integer", "numeric")) { # ywhich is column numbers
indvars <- vector("list", length = length(ywhich))
totalcombos <- 1 # keep track of where we are
xname <- deparse(substitute(xwhich))
dfname <- deparse(substitute(dataframe))
message("Creating the variable pairings from dataframe ", dfname)
for (k in seq_along(ywhich)) { # for loop
indvarsbare <- as.name(colnames(dataframe[ywhich[[k]]]))
cat("Plot #", totalcombos, " ", xname,
" with ", as.name(colnames(dataframe[ywhich[[k]]])), "\n",
sep = ""
)
bbb <- enquo(indvarsbare)
yname <- deparse(substitute(indvarsbare))
PlotMagic(dataframe, aaa, bbb, whichbar, dfname, xname, yname)
totalcombos <- totalcombos + 1
} # end of for loop
return(message("Plotting complete"))
} else { # ywhich is NOT suitable
stop("Sorry I don't understand your ywhich variable(s)")
} #
} else { # xwhich wasn't try ywhich
if (deparse(substitute(ywhich)) %in% names(dataframe)) { # yes ywhich is
bbb <- enquo(ywhich)
if (class(try(eval(xwhich))) %in% c("integer", "numeric")) { # then xwhich a suitable number
# Build one list two ways
depvars <- vector("list", length = length(xwhich))
totalcombos <- 1 # keep track of where we are
yname <- deparse(substitute(ywhich))
dfname <- deparse(substitute(dataframe))
message("Creating the variable pairings from dataframe ", dfname)
for (j in seq_along(xwhich)) {
depvarsbare <- as.name(colnames(dataframe[xwhich[[j]]]))
cat("Plot #", totalcombos, " ", as.name(colnames(dataframe[xwhich[[j]]])),
" with ", yname, "\n",
sep = ""
)
aaa <- enquo(depvarsbare)
xname <- deparse(substitute(depvarsbare))
PlotMagic(dataframe, aaa, bbb, whichbar, dfname, xname, yname)
totalcombos <- totalcombos + 1
} # end of for loop
return(message("Plotting complete"))
} else { # xwhich is NOT suitable
stop("Sorry I don't understand your xwhich variable(s)")
} # end of else because xwhich not suitable
} # end of if
}
}
# If both variables are numeric print the plot(s)
if (class(try(eval(xwhich))) %in% c("integer", "numeric") & class(try(eval(ywhich))) %in% c("integer", "numeric")) {
indvars <- vector("list", length = length(ywhich))
depvars <- vector("list", length = length(xwhich))
dfname <- deparse(substitute(dataframe))
totalcombos <- 1 # keep track of where we are
message("Creating the variable pairings from dataframe ", dfname)
for (j in seq_along(xwhich)) {
for (k in seq_along(ywhich)) {
depvarsbare <- as.name(colnames(dataframe[xwhich[[j]]]))
indvarsbare <- as.name(colnames(dataframe[ywhich[[k]]]))
cat("Plot #", totalcombos, " ", as.name(colnames(dataframe[xwhich[[j]]])),
" with ", as.name(colnames(dataframe[ywhich[[k]]])), "\n",
sep = ""
)
aaa <- enquo(depvarsbare)
bbb <- enquo(indvarsbare)
xname <- deparse(substitute(depvarsbare))
yname <- deparse(substitute(indvarsbare))
PlotMagic(dataframe, aaa, bbb, whichbar, dfname, xname, yname)
totalcombos <- totalcombos + 1
} # end of inner for loop
} # end of outer for loop
return(message("Plotting complete"))
} # end of if case where all are numeric
} # end of function
# PackageList <- .packages(all.available = TRUE)
# if ("productplots" %in% PackageList) {
# data("happy",package = "productplots")
# } else {
# stop("Can't load productplots can't use the following examples")
# }
#' \dontrun{
#' PlotXTabs(happy,happy,sex) # baseline
#' PlotXTabs(happy,2,5,"stack") # same thing using column numbers
#' PlotXTabs(happy, 2, c(5:9), plottype = "percent") # multiple columns RHS
#' PlotXTabs(happy, c(2,5), 9, plottype = "side") # multiple columns LHS
#' PlotXTabs(happy, c(2,5), c(6:9), plottype = "percent")
#' PlotXTabs(happy, happy, c(6,7,9), plottype = "percent")
#' PlotXTabs(happy, c(6,7,9), happy, plottype = "percent")
#' }