Tests input parameters for functions

validate_input_parameters_correlation(
  main_dataset = "placeholder",
  SCEs = "placeholder",
  sampleIDs = "placeholder",
  celltypeIDs = "placeholder",
  celltype_correspondence = "placeholder",
  pvalues = "placeholder",
  dataset_names = "placeholder",
  corr_mats = "placeholder",
  num_real_datasets = "placeholder",
  alphaval = "placeholder",
  N_randperms = "placeholder",
  N_subsets = "placeholder",
  sex_DEGs = "placeholder",
  fontsize_yaxislabels = "placeholder",
  fontsize_yaxisticks = "placeholder",
  fontsize_title = "placeholder",
  fontsize_legendlabels = "placeholder",
  fontsize_legendtitle = "placeholder",
  fontsize_facet_labels = "placeholder",
  output_path = "placeholder"
)

Arguments

main_dataset: name of the dataset used to select significant DEGs from (specified as a string, name as in dataset_names)
SCEs: list of the input data (elements should be SCE objects)
sampleIDs: list or vector of sample IDs (in order of SCEs)
celltypeIDs: list or vector of cell type IDs (in order of SCEs)
celltype_correspondence: list of different names specifying each cell type
pvalues: the list of cut-off p-values which will be used to select DEGs (can just provide a list with one as well)
dataset_names: names of the datasets as they appear in the correlation plot (in order of SCEs)
corr_mats: (named) list of correlation matrices for each celltype with the final element being the mean correlation matrix, all at specified p-value
num_real_datasets: total number of real datasets (most likely the number of studies, but sometimes a study may be split e.g. into 2 brain regions, so in this case it would be the number of studies plus 1)
alphaval: (alpha) transparency of the non-mean boxplots
N_randperms: number of random permutations of the dataset used to select significant DEGs from
N_subsets: number of pairs of random subsets of the dataset used to select significant DEGs from
sex_DEGs: true if DEGs come from sex chromosomes, else false
fontsize_yaxislabels: font size for axis labels in plot
fontsize_yaxisticks: font size for axis tick labels in plot
fontsize_title: font size for plot title
fontsize_legendlabels: font size for legend labels in plot
fontsize_legendtitle: font size for legend title in plot
fontsize_facet_labels: font size for facet labels
output_path: base path in which outputs will be stored Checks all correlation analysis parameters are specified correctly