Fix PID matching when joining data from participants
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# Change Log
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## v1.2.1 (in progress)
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- Fix PID matching when joining data from multiple participants. We can handle PIDS with an arbitrary format.
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- Fix bug that did not correctly parse participants with more than 2 phones or more than 1 wearable
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## v1.2.0
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- Sleep summary and intraday features are more consistent.
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- Add wake and bedtime features for sleep summary data.
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@ -10,7 +10,7 @@ feature_files <- snakemake@input[["feature_files"]]
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features_of_all_participants <- tibble(filename = feature_files) %>% # create a data frame
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mutate(file_contents = map(filename, ~ read.csv(., stringsAsFactors = F, colClasses = c(local_segment = "character", local_segment_label = "character", local_segment_start_datetime="character", local_segment_end_datetime="character"))),
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pid = str_match(filename, ".*/([a-zA-Z]+?[0-9]+?)/.*")[,2]) %>%
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pid = str_match(filename, ".*/(.*)/all_sensor_features.csv")[,2]) %>%
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unnest(cols = c(file_contents)) %>%
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select(-filename)
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