Subset a huxtable
# S3 method for huxtable
[(x, i, j, drop = FALSE)
# S3 method for huxtable
[(x, i, j) <- value
# S3 method for huxtable
$(x, name) <- value
# S3 method for huxtable
[[(x, i, j) <- valueA huxtable.
Rows to select.
Columns to select.
Only included for compatibility with [.data.frame. Do not use.
A matrix, data frame, huxtable or similar object.
[ returns a huxtable. $ and [[ return data from the
underlying data frame.
For the replacement function [<-, if value is a huxtable, then its
properties will be copied into x. Replacement functions $<- and [[<-
replace existing data without affecting any properties.
If new columns or rows are created, then properties will be copied
from the last column or row of x, or from value if value is a huxtable.
These methods are stricter than their data frame equivalents in some places. You can't add new rows or column at a numeric location without specifying all intervening rows/columns. New values must have the appropriate dimensions (vectors will be interpreted appropriately).
jams[1:3, ]
#> Type Price Sugar content
#> Strawberry 1.90 40.00%
#> Raspberry 2.10 35.00%
#>
#> Column names: Type, Price, Sugar
class(jams[1:3, ])
#> [1] "huxtable" "data.frame"
jams[, 1]
#> Type
#> Strawberry
#> Raspberry
#> Plum
#>
#> Column names: Type
jams$Type
#> [1] "Type" "Strawberry" "Raspberry" "Plum"
prices <- huxtable(c("Price", 1.70, 2.00, 2.20))
number_format(prices) <- 2
bold(prices) <- TRUE
jams[, 2] <- prices
jams
#> Type Price Sugar content
#> Strawberry 1.70 40.00%
#> Raspberry 2.00 35.00%
#> Plum 2.20 50.00%
#>
#> Column names: Type, Price, Sugar
data(jams)
jams$price <- c("Price", 1.70, 2.00, 2.20)
jams
#> Type Price Sugar content Price
#> Strawberry 1.70 40.00% 1.70
#> Raspberry 2.00 35.00% 2.00
#> Plum 2.20 50.00% 2.20
#>
#> Column names: Type, Price, Sugar, price