Description Usage Arguments Value Author(s) Examples
Generates a PDF containing plots and p-values for each feature. P-values are generating using Mann Whitney and permutation tests. This function requires that you create a list of dataframes for a given feature type (e.g. spikes) using the aggregate.data() function
1 | permute_features_and_plot(s, wt, np, features_list, type, output_dir)
|
s |
MEA data structure |
wt |
The treatment that will act as the wildtype/reference for the Mann Whitney and Permutation tests |
np |
Number of permutations to be performed |
features_list |
A list of dataframes containing data for a given feature |
type |
Type of features contained in features_list (e.g. spikes, ns, or bursts) |
output_dir |
Directory where output files will be generated |
A PDF file containing the plots and p-values.
Ryan Dhindsa
1 2 3 4 5 6 | data("S")
spike_features<-aggregate_features(S, feat_type="spike" )
wt <- "untreated"
output_dir = tempdir()
print(paste0("Creating output folders under ",output_dir))
permute_features_and_plot(S, wt, np, spike_features, "spikes", output_dir)
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