Replace missing values in a scan

comparison_replaceMissing(heightValues, replacement = 0)

Arguments

heightValues

list/tibble column of x3p objects

replacement

value to replace NAs

Value

A list of the same length as the input containing x3p objects for which NA values have been replaced.

Examples

data(fadul1.1_processed,fadul1.2_processed) cellTibble <- fadul1.1_processed %>% comparison_cellDivision(numCells = 64) %>% dplyr::mutate(regionHeightValues = comparison_getTargetRegions(cellHeightValues = cellHeightValues, target = fadul1.2_processed)) %>% dplyr::mutate(cellPropMissing = comparison_calcPropMissing(heightValues = cellHeightValues), regionPropMissing = comparison_calcPropMissing(heightValues = regionHeightValues)) %>% dplyr::filter(cellPropMissing <= .85 & regionPropMissing <= .85) %>% dplyr::mutate(cellHeightValues = comparison_standardizeHeights(heightValues = cellHeightValues), regionHeightValues = comparison_standardizeHeights(heightValues = regionHeightValues)) %>% dplyr::mutate(cellHeightValues = comparison_replaceMissing(heightValues = cellHeightValues), regionHeightValues = comparison_replaceMissing(heightValues = regionHeightValues)) head(cellTibble)
#> # A tibble: 6 x 5 #> cellIndex cellHeightValues regionHeightValues cellPropMissing regionPropMissi~ #> <chr> <named list> <named list> <dbl> <dbl> #> 1 8, 6 <x3p> <x3p> 0.833 0.808 #> 2 7, 7 <x3p> <x3p> 0.657 0.700 #> 3 7, 8 <x3p> <x3p> 0.834 0.757 #> 4 6, 8 <x3p> <x3p> 0.353 0.638 #> 5 5, 8 <x3p> <x3p> 0.153 0.576 #> 6 4, 1 <x3p> <x3p> 0.117 0.767