mirror of
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53 lines
1.6 KiB
R
53 lines
1.6 KiB
R
# Setup -------------------------------------------------------------------
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devtools::load_all()
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library(digest)
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library(magrittr)
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library(jsonlite)
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ref_data_location <- function(x) file.path("tests", "testthat", "data", x)
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# RCurl -------------------------------------------------------------------
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REDCap_split(
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ref_data_location("ExampleProject_records.json") %>% fromJSON(),
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ref_data_location("ExampleProject_metadata.json") %>% fromJSON()
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) %>% digest()
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# Basic CSV ---------------------------------------------------------------
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REDCap_split(
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ref_data_location("ExampleProject_DATA_2018-06-07_1129.csv") %>% read.csv(),
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ref_data_location("ExampleProject_DataDictionary_2018-06-07.csv") %>%
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read.csv()
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) %>% digest()
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# REDCap R Export ---------------------------------------------------------
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source("tests/testthat/helper-ExampleProject_R_2018-06-07_1129.r")
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REDCap_split(
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ref_data_location("ExampleProject_DATA_2018-06-07_1129.csv") %>%
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read.csv() %>%
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REDCap_process_csv(),
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ref_data_location("ExampleProject_DataDictionary_2018-06-07.csv") %>%
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read.csv()
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) %>% digest()
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# Longitudinal data from @pbchase; Issue #7 -------------------------------
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file_paths <- vapply(
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c(
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records = "WARRIORtestForSoftwa_DATA_2018-06-21_1431.csv",
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metadata = "WARRIORtestForSoftwareUpgrades_DataDictionary_2018-06-21.csv"
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),
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FUN.VALUE = "character", ref_data_location
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)
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redcap <- lapply(file_paths, read.csv, stringsAsFactors = FALSE)
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redcap[["metadata"]] <- with(redcap, metadata[metadata[, 1] > "", ])
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with(redcap, REDCap_split(records, metadata)) %>% digest()
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