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#' Add Summary Function
#'
#' Sometimes other ways of calculating summary functions is wanted and is done in other packages,
#' in this instance the data can be loaded into the `mxFDA` object.
#'
#' @param mxFDAobject object of class `mxFDA`
#' @param summary_function_data data frame with `summary_key` from `mxFDA` object as key column for summary function
#' @param metric character vector with either 'uni' or 'bi' and 'k', 'l', or 'g'; e.g. 'uni g'
#'
#' @return an updated `mxFDA` object with a derived value added. See [make_mxfda()] for more details.
#'
#' @author Alex Soupir \email{`r alexsoupir_email`}
#'
#' @export
add_summary_function = function(mxFDAobject,
summary_function_data,
metric){
#get the right data
if(length(metric) != 1)
stop("Please provide a single spatial metric to calculate functional PCA with")
metric = unlist(strsplit(metric, split = " "))
if(!(mxFDAobject@sample_key %in% colnames(summary_function_data)))
stop("summary_function_data must have sample_key column name")
if(!inherits(summary_function_data, "data.frame"))
stop("summary_function_data needs to be a data frame")
#fill slot with new data
if(grepl("[B|b]", metric[1]) & grepl("[K|k]", metric[2])) mxFDAobject@bivariate_summaries$Kcross = summary_function_data
if(grepl("[B|b]", metric[1]) & grepl("[G|g]", metric[2])) mxFDAobject@`bivariate_summaries`$Gcross = summary_function_data
if(grepl("[B|b]", metric[1]) & grepl("[L|l]", metric[2])) mxFDAobject@`bivariate_summaries`$Lcross = summary_function_data
if(grepl("[U|u]", metric[1]) & grepl("[K|k]", metric[2])) mxFDAobject@`univariate_summaries`$Kest = summary_function_data
if(grepl("[U|u]", metric[1]) & grepl("[G|g]", metric[2])) mxFDAobject@`univariate_summaries`$Gest = summary_function_data
if(grepl("[U|u]", metric[1]) & grepl("[L|l]", metric[2])) mxFDAobject@`univariate_summaries`$Lest = summary_function_data
#return updated object
return(mxFDAobject)
}
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