#' Prints the frequencies and ESS of the splits
#'
#' @importFrom utils write.csv
#'
#' @param output A list of convenience.diag type
#' @param splits_per_run When set to TRUE, shows the information for the splits for each run
#' @param filename A filename to save the table, if NULL the table will be printed
#'
#' @export
printTableSplits <- function(output, splits_per_run = FALSE,filename = NULL){
if(splits_per_run == TRUE){
df_splits <- output$tree_parameters$freq_per_run
} else{
if( length(output$tree_parameters$frequencies) == 1 ){
names_spits <- names(output$tree_parameters$frequencies[[1]])
freq_splits <- as.vector(unlist(output$tree_parameters$frequencies[[1]]))
df_splits <- data.frame(row.names = names_spits, "frequencies" = freq_splits)
df_splits <- as.data.frame(df_splits[row.names(output$tree_parameters$ess),])
row.names(df_splits) <- row.names(output$tree_parameters$ess)
}else{
df_3 <- plyr::ldply(output$tree_parameters$frequencies, rbind)
df_3 <- setNames(data.frame(t(df_3[,-1]), row.names = colnames(df_3)[-1]), df_3[,1])
df_3 <- (rowSums(as.data.frame(df_3))*2)/(length(output$tree_parameters$ess)-1)
df_3 <- (df_3)/4
df_splits <- as.data.frame(df_3)
df_splits <- as.data.frame(df_splits[row.names(output$tree_parameters$ess),])
row.names(df_splits) <- row.names(output$tree_parameters$ess)
}
colnames(df_splits) <- "frequencies"
df_splits$ESS <- rowSums(output$tree_parameters$ess)
df_splits <- df_splits[order(df_splits$frequencies),]
}
if( is.null(filename) ){
return(df_splits)
} else{
write.csv(df_splits, file = filename)
}
}
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