This function bootstrap samples an AFQ dataframe by participant. That is, it first pivots to wide format with one row per participant, bootstrap samples, and finally pivots back to long format.
Usage
bootstrap_df(
df,
target,
node_col = "nodeID",
node_group = "group",
participant_col = "subjectID"
)Arguments
- df
The input dataframe.
- target
The column name that encodes the metric to model.
- node_col
The column name that encodes tract node positions. Default: "nodeID"
- node_group
The column name to group the tract node smooth by. Default: NULL.
- participant_col
The column name that encodes participant ID. Default: "subjectID".
Examples
if (FALSE) { # \dontrun{
df_afq <- read.csv("/path/to/afq/output.csv")
df_bootstrap <- bootstrap_df(df_afq, "dti_fa")} # }