%%COMPUTE%% {bruceR}R Documentation

Multivariate computation.

Description

Easily compute multivariate sum, mean, and other scores. Reverse scoring can also be easily implemented without saving extra variables. Alpha function uses a similar method to deal with reverse scoring.

Three options to specify variables:

  1. var + items: use the common and unique parts of variable names.

  2. vars: directly define a character vector of variables.

  3. varrange: use the starting and stopping positions of variables.

Usage

COUNT(data, var = NULL, items = NULL, vars = NULL, varrange = NULL, value = NA)

MODE(data, var = NULL, items = NULL, vars = NULL, varrange = NULL)

SUM(
  data,
  var = NULL,
  items = NULL,
  vars = NULL,
  varrange = NULL,
  rev = NULL,
  likert = NULL,
  na.rm = TRUE
)

MEAN(
  data,
  var = NULL,
  items = NULL,
  vars = NULL,
  varrange = NULL,
  rev = NULL,
  likert = NULL,
  na.rm = TRUE
)

STD(
  data,
  var = NULL,
  items = NULL,
  vars = NULL,
  varrange = NULL,
  rev = NULL,
  likert = NULL,
  na.rm = TRUE
)

CONSEC(
  data,
  var = NULL,
  items = NULL,
  vars = NULL,
  varrange = NULL,
  values = 0:9
)

Arguments

data

Data frame.

var

[Option 1] The common part across the variables. e.g., "RSES"

items

[Option 1] The unique part across the variables. e.g., 1:10

vars

[Option 2] A character vector specifying the variables. e.g., c("X1", "X2", "X3", "X4", "X5")

varrange

[Option 3] A character string specifying the positions ("starting:stopping") of variables. e.g., "A1:E5"

value

[Only for COUNT] The value to be counted.

rev

[Optional] Variables that need to be reversed. It can be (1) a character vector specifying the reverse-scoring variables (recommended), or (2) a numeric vector specifying the item number of reverse-scoring variables (not recommended).

likert

[Optional] Range of likert scale (e.g., 1:5, c(1, 5)). If not provided, it will be automatically estimated from the given data (BUT you should use this carefully).

na.rm

Ignore missing values. Default is TRUE.

values

[Only for CONSEC] Values to be counted as consecutive identical values. Default is all numbers (0:9).

Value

A vector of computed values.

Functions

Examples

d=data.table(x1=1:5,
             x4=c(2,2,5,4,5),
             x3=c(3,2,NA,NA,5),
             x2=c(4,4,NA,2,5),
             x5=c(5,4,1,4,5))
d
## I deliberately set this order to show you
## the difference between "vars" and "varrange".

d[,`:=`(
  na=COUNT(d, "x", 1:5, value=NA),
  n.2=COUNT(d, "x", 1:5, value=2),
  sum=SUM(d, "x", 1:5),
  m1=MEAN(d, "x", 1:5),
  m2=MEAN(d, vars=c("x1", "x4")),
  m3=MEAN(d, varrange="x1:x2", rev="x2", likert=1:5),
  cons1=CONSEC(d, "x", 1:5),
  cons2=CONSEC(d, varrange="x1:x5")
)]
d

data=as.data.table(psych::bfi)
data[,`:=`(
  E=MEAN(d, "E", 1:5, rev=c(1,2), likert=1:6),
  O=MEAN(d, "O", 1:5, rev=c(2,5), likert=1:6)
)]
data


[Package bruceR version 0.8.0 Index]