Methods to extract the variable names to the elements of the
structure of the Design (e.g. treatment, unit of analysis, etc)
Usage
var_table(design, compress = TRUE, report_all = FALSE)
var_names(design, type, implicitBlocks = FALSE)Arguments
- design
a
Designobject- compress
should multiple variables be compressed into a comma-separated string? Default
TRUE. IfFALSE, multiple columns can be created instead.- report_all
should we report all possible structures even if they don't exist in the
Design? DefaultFALSE.- type
one of "t", "u", "b", "f"; for "treatment", "unit_of_assignment", "block", and "forcing" respectively
- implicitBlocks
If the
Designis created without blocks, setting this toTRUEwill return ".blocks_internal" as the variable name corresponding to the blocks.
Details
When compress is TRUE, the result will always have
two columns. When FALSE, the result will have number of columns
equal to the largest number of variables in a particular role, plus one.
E.g., a call such as rct_design(z ~ unitid(a, b, c, d) ... will
have 4+1=5 columns in the output matrix with compress = FALSE.
When report_all is TRUE, the matrix is guaranteed to have 3
rows (when the design is an RCT or Obs) or 4 rows (when the
design is a RD), with empty variable entries as appropriate. When
FALSE, the matrix will have minimum 2 rows (treatment and unit of
assignment/unitid/cluster), with additional rows for blocks and forcing if
included in the Design.
Examples
des <- rct_design(z ~ uoa(uoa1, uoa2) + block(bid), data = simdata)
var_table(des)
#> Structure Variables
#> [1,] "Treatment" "z"
#> [2,] "Unit of Assignment" "uoa1, uoa2"
#> [3,] "Block" "bid"
var_table(des, compress = FALSE)
#> Structure Variable 1 Variable 2
#> [1,] "Treatment" "z" NA
#> [2,] "Unit of Assignment" "uoa1" "uoa2"
#> [3,] "Block" "bid" NA
var_names(des, "t")
#> [1] "z"
var_names(des, "u")
#> [1] "uoa1" "uoa2"
var_names(des, "b")
#> [1] "bid"
