reshape-4u: Casting workhorse.

reshape1R Documentation

Casting workhorse.

Description

Takes data frame and variable list and casts data.

Usage

reshape1(data, vars = list(NULL, NULL), fun.aggregate=NULL, margins,
  df=FALSE, fill=NA, add.missing=FALSE, ...)

Arguments

data

data frame

vars

variables to appear in columns

fun.aggregate

variables to appear in rows

margins

aggregation function

df

should the aggregating function be supplied with the entire data frame, or just the relevant entries from the values column

fill

vector of variable names (can include "grand\_col" and "grand\_row") to compute margins for, or TRUE to computer all margins

add.missing

value with which to fill in structural missings

...

further arguments are passed to aggregating function

Author(s)

Hadley Wickham <h.wickham@gmail.com>

See Also

cast

Examples

ffm <- melt(french_fries, id=1:4, na.rm = TRUE)
# Casting lists ----------------------------
cast(ffm, treatment ~ rep | variable, mean)
cast(ffm, treatment ~ rep | subject, mean)
cast(ffm, treatment ~ rep | time, mean)
cast(ffm, treatment ~ rep | time + variable, mean)
names(airquality) <- tolower(names(airquality))
aqm <- melt(airquality, id=c("month", "day"), preserve=FALSE)
#Basic call
reshape1(aqm, list("month", NULL), mean)
reshape1(aqm, list("month", "variable"), mean)
reshape1(aqm, list("day", "month"), mean)

#Explore margins  ----------------------------
reshape1(aqm, list("month", NULL), mean, "month")
reshape1(aqm, list("month", NULL) , mean, "grand_col")
reshape1(aqm, list("month", NULL) , mean, "grand_row")

reshape1(aqm, list(c("month", "day"), NULL), mean, "month")
reshape1(aqm, list(c("month"), "variable"), mean, "month")
reshape1(aqm, list(c("variable"), "month"), mean, "month")
reshape1(aqm, list(c("month"), "variable"), mean, c("month","variable"))

reshape1(aqm, list(c("month"), "variable"), mean, c("grand_row"))
reshape1(aqm, list(c("month"), "variable"), mean, c("grand_col"))
reshape1(aqm, list(c("month"), "variable"), mean, c("grand_row","grand_col"))

reshape1(aqm, list(c("variable","day"),"month"), mean,c("variable"))
reshape1(aqm, list(c("variable","day"),"month"), mean,c("variable","grand_row"))
reshape1(aqm, list(c("month","day"), "variable"), mean, "month")

# Multiple fnction returns  ----------------------------
reshape1(aqm, list(c("month", "result_variable"), NULL), range)
reshape1(aqm, list(c("month"),"result_variable") , range)
reshape1(aqm, list(c("result_variable", "month"), NULL), range)

reshape1(aqm, list(c("month", "result_variable"), "variable"), range, "month")
reshape1(aqm, list(c("month", "result_variable"), "variable"), range, "variable")
reshape1(aqm, list(c("month", "result_variable"), "variable"), range, c("variable","month"))
reshape1(aqm, list(c("month", "result_variable"), "variable"), range, c("grand_col"))
reshape1(aqm, list(c("month", "result_variable"), "variable"), range, c("grand_row"))

reshape1(aqm, list(c("month"), c("variable")), function(x) diff(range(x))) 

reshape documentation built on April 12, 2022, 5:07 p.m.

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