Fix bug of clean_features_for_model
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915bdd04b1
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78cd8159be
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@ -25,11 +25,11 @@ filter_participant_without_enough_days <- function(clean_features, days_before_t
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clean_features <- read.csv(snakemake@input[[1]])
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clean_features <- read.csv(snakemake@input[[1]])
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cols_nan_threshold <- snakemake@params[["cols_nan_threshold"]]
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cols_nan_threshold <- as.numeric(snakemake@params[["cols_nan_threshold"]])
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drop_zero_variance_columns <- snakemake@params[["cols_var_threshold"]]
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drop_zero_variance_columns <- as.logical(snakemake@params[["cols_var_threshold"]])
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rows_nan_threshold <- snakemake@params[["rows_nan_threshold"]]
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rows_nan_threshold <- as.numeric(snakemake@params[["rows_nan_threshold"]])
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days_before_threshold <- snakemake@params[["days_before_threshold"]]
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days_before_threshold <- as.numeric(snakemake@params[["days_before_threshold"]])
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days_after_threshold <- snakemake@params[["days_after_threshold"]]
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days_after_threshold <- as.numeric(snakemake@params[["days_after_threshold"]])
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# We have to do this before and after dropping rows, that's why is duplicated
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# We have to do this before and after dropping rows, that's why is duplicated
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