subsetting: Several ways to subset based on logical range comparison...

In extraoperators: Extra Binary Relational and Logical Operators

Description

Several ways to subset based on logical range comparison helpers

Usage

e1 %sgele% e2

e1 %sgel% e2

e1 %sgle% e2

e1 %sgl% e2

e1 %sge% e2

e1 %sg% e2

e1 %sle% e2

e1 %sl% e2

e1 %sin% e2

e1 %s!in% e2

e1 %snin% e2

e1 %s==% e2

e1 %s!=% e2

e1 %sc% e2

e1 %se% e2

Arguments

e1	A number of vector to be evaluated and subset
e2	A vector of one or two numbers used to denote the limits for logical comparison.

Value

A subset of e1 that meets the logical conditions.

Examples

1:5 %sgele% c(2, 4)
1:5 %sgele% c(4, 2) # order does not matter uses min / max

1:5 %sgel% c(2, 4)
1:5 %sgel% c(4, 2) # order does not matter uses min / max

1:5 %sgle% c(2, 4)
1:5 %sgle% c(4, 2) # order does not matter uses min / max

1:5 %sgl% c(2, 4)
1:5 %sgl% c(4, 2) # order does not matter uses min / max

1:5 %sge% 2
1:5 %sge% 4

1:5 %sg% 2
1:5 %sg% 4

1:5 %sle% 2
1:5 %sle% 4

1:5 %sl% 2
1:5 %sl% 4

1:5 %sin% c(2, 99)
c("jack", "jill", "john", "jane") %sin% c("jill", "jane", "bill")

1:5 %s!in% c(2, 99)
c("jack", "jill", "john", "jane") %s!in% c("jill", "jane", "bill")

1:5 %s==% 1:5
1:5 %s==% c(1:4, 1)

1:5 %s!=% 1:5
1:5 %s!=% c(1:4, 1)
## define a variable
sample_data <- c(1, 3, 9, 5, NA, -9)

## suppose that we expect that values should fall in [1, 10]
## unless they are special character, -9 used for unknown / refused
sample_data %sc% "( >= 1 & <= 10 ) | == -9"

## we might expect some missing values and be OK as long as
## above conditions are met or values are missing
sample_data %sc% "( >= 1 & <= 10 ) | == -9 | is.na"

## equally we might be expecting NO missing values
## and want missing values to come up as FALSE
sample_data %sc% "(( >= 1 & <= 10 ) | == -9) & !is.na"

## clean up
rm(sample_data)
## define a variable
sample_data <- c(1, 3, 9, 5, -9)

sample_data %se% "(-8, 1] | [2, 9)"

## clean up
rm(sample_data)

extraoperators documentation built on Nov. 5, 2019, 1:07 a.m.