maintain.order: Maintain Order

In dennisteowh/dthelper: Dennis Teo's Helper Functions

Maintain Order

Description

Given an order and variables, function creates new variables by rearranging input variables based on given order.

Usage

maintain.order(
  df,
  order.by,
  vars.to.order,
  new.category.name = "time",
  sep = ".",
  exact.match = TRUE,
  starts.with = TRUE,
  check = TRUE
)

Arguments

df	data.frame object
order.by	List of variables to order by. Should be a list object
vars.to.order	Input variable names that needs reordering
new.category.name	Name of created variable. Will be subscripted with .1, .2, ,3, etc.
sep	separator used for subscripting new variable names
exact.match	If set to FALSE, vars.to.order and order.by do not have to match exactly

Value

data.frame object

Examples

df <- data.frame(px = c(1,2,3),
      A = c(2, 4, 6),
      B = c(4, 6, 2),
      C = c(6, 4, 2),
      D = c(5, 6, 7 )
      )
df$order <- c("A|B|C|D", "D|A|C|B", "D|B|C|A")
df$order <- lapply(df$order, function(x){string.to.vect(x,sep="|")})

maintain.order(df = df, order.by = "order", vars.to.order = c("A", "B", "C","D"))
maintain.order(df = df, order.by = "order", vars.to.order = c("A", "B", "C"), new.category.name = "response")

df2 <- data.frame(df,
                  A.time = c(20.2, 30.2, 40.2),
                  B.time = c(10.1, 15.1, 20.1),
                  C.time = c(52.6, 58.6, 63.6),
                  D.time = c(1,2,3))
maintain.order(df2, order.by = "order", vars.to.order = c("A.time", "B.time", "C.time"), exact.match = FALSE)

also see <https://msrcodelibrary.netlify.app/2020/06/10/maintain-order/>
for step-by-step tutorial.

dennisteowh/dthelper documentation built on March 19, 2022, 11:42 a.m.