comparison_cor | R Documentation |
Calculates correlation between a cell and a matrix of the same dimensions extracted from the cell's associated region.
comparison_cor( cellHeightValues, regionHeightValues, fft_ccf_df, use = "pairwise.complete.obs" )
cellHeightValues |
list/tibble column of x3p objects containing a reference scan's cells (as returned by comparison_cellDivision) |
regionHeightValues |
list/tibble column of x3p objects containing a target scan's regions (as returned by comparison_getTargetRegions) |
fft_ccf_df |
data frame/tibble column containing the data frame of (x,y) and CCF values returned by comparison_fft_ccf |
use |
argument for stats::cor |
A vector of the same length as the input containing correlation values at the estimated alignment between each reference cell and its associated target region
data(fadul1.1_processed,fadul1.2_processed) cellTibble <- fadul1.1_processed %>% comparison_cellDivision(numCells = c(8,8)) %>% 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)) %>% dplyr::mutate(fft_ccf_df = comparison_fft_ccf(cellHeightValues, regionHeightValues)) %>% dplyr::mutate(pairwiseCompCor = comparison_cor(cellHeightValues, regionHeightValues, fft_ccf_df)) head(cellTibble)
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