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
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 8 207 16 107 150
#>
#> $A2
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 100 154 222 161 105
#>
#> $A3
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 88 163 209 71 1
#>
#> $A4
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 114 208 70 9 36
#>
#> $A5
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 86 112 15 171 221
#>
#> $A6
#> SubSet1 SubSet2 SubSet3 SubSet4 SubSet5
#> 176 224 46 133 235
#>