The qpvt
function builds a basic pivot table with one line of R.
qpvt(
dataFrame,
rows = NULL,
columns = NULL,
calculations = NULL,
theme = NULL,
replaceExistingStyles = FALSE,
tableStyle = NULL,
headingStyle = NULL,
cellStyle = NULL,
totalStyle = NULL,
...
)
The data frame containing the data to be summarised in the pivot table.
A character vector of variable names to be plotted on the rows of the pivot table, or "=" to specify the position of the calculations.
A character vector of variable names to be plotted on the columns of the pivot table, or "=" to specify the position of the calculations.
One or more summary calculations to use to calculate the values of the cells in the pivot table.
Either the name of a built-in theme (default, largeplain, compact or blank/none) or a list which specifies the default formatting for the table.
TRUE to completely replace the default styling with the specified tableStyle, headingStyle, cellStyle and/or totalStyle
A list of CSS style declarations that apply to the table.
A list of CSS style declarations that apply to the heading cells in the table.
A list of CSS style declarations that apply to the normal cells in the table.
A list of CSS style declarations that apply to the total cells in the table.
Additional arguments, currently format, formats, totals, compatibility and/or argumentCheckMode.
A pivot table.
qpvt(bhmtrains, "TOC", "TrainCategory", "n()")
#> Express Passenger Ordinary Passenger Total
#> Arriva Trains Wales 3079 830 3909
#> CrossCountry 22865 63 22928
#> London Midland 14487 33792 48279
#> Virgin Trains 8594 8594
#> Total 49025 34685 83710
qpvt(bhmtrains, c("=", "TOC"), c("TrainCategory", "PowerType"),
c("Number of Trains"="n()",
"Maximum Speed"="max(SchedSpeedMPH, na.rm=TRUE)"))
#> Express Passenger Ordinary Passenger Total
#> DMU EMU HST Total DMU EMU Total
#> Number of Trains Arriva Trains Wales 3079 3079 830 830 3909
#> CrossCountry 22133 732 22865 63 63 22928
#> London Midland 5638 8849 14487 5591 28201 33792 48279
#> Virgin Trains 2137 6457 8594 8594
#> Total 32987 15306 732 49025 6484 28201 34685 83710
#> Maximum Speed Arriva Trains Wales 90 90 90 90 90
#> CrossCountry 125 125 125 100 100 125
#> London Midland 100 110 110 100 100 100 110
#> Virgin Trains 125 125 125 125
#> Total 125 125 125 125 100 100 100 125