This function assumes that to process the batch the samples are distributed in a plate with a grid scheme.
Usage
spatial(
index,
pheno,
omit = NULL,
remove_positions = NULL,
rows = LETTERS[1:5],
columns = 1:10,
iterations = 500
)
Arguments
- index
A list with the samples on each subgroup, as provided from
design()
orreplicates()
.- pheno
Data.frame with the sample information.
- omit
Name of the columns of the
pheno
that will be omitted.- remove_positions
Character, name of positions to be avoided in the grid.
- rows
Character, name of the rows to be used.
- columns
Character, name of the rows to be used.
- iterations
Numeric value of iterations that will be performed.
Examples
data(survey, package = "MASS")
index <- design(survey[, c("Sex", "Smoke", "Age")], size_subset = 50,
iterations = 10)
#> Warning: There might be some problems with the data use check_data().
index2 <- spatial(index, survey[, c("Sex", "Smoke", "Age")], iterations = 10)
head(index2)
#> $A1
#> [1] 94 129 16 89 170
#>
#> $B1
#> [1] 2 56 51 182 235
#>
#> $C1
#> [1] 205 199 97 201 1
#>
#> $D1
#> [1] 86 19 121 185 168
#>
#> $E1
#> [1] 27 207 61 152 84
#>
#> $A2
#> [1] 213 45 127 223 230
#>