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@ -3,6 +3,10 @@
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redcapcast_data <- REDCapR::redcap_read(redcap_uri = keyring::key_get("DB_URI"),
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token = keyring::key_get("cast_api"),
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raw_or_label = "label"
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)$data
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)$data |> dplyr::tibble()
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# redcapcast_data <- easy_redcap(project.name = "redcapcast_pacakge",
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# uri = keyring::key_get("DB_URI"),
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# widen.data = FALSE)
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usethis::use_data(redcapcast_data, overwrite = TRUE)
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@ -22,11 +22,11 @@ returns characters in same format as input
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Convert single digits to words
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}
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\examples{
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d2w(c(2:8,21))
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d2w(data.frame(2:7,3:8,1),lang="da",neutrum=TRUE)
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d2w(c(2:8, 21))
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d2w(data.frame(2:7, 3:8, 1), lang = "da", neutrum = TRUE)
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## If everything=T, also larger numbers are reduced.
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## Elements in the list are same length as input
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d2w(list(2:8,c(2,6,4,23),2), everything=TRUE)
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d2w(list(2:8, c(2, 6, 4, 23), 2), everything = TRUE)
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}
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@ -26,5 +26,5 @@ easing the split around the defined delimiter, see example.
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}
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\examples{
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test <- c("12 months follow-up", "3 steps", "mRS 6 weeks", "Counting to 231 now")
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strsplitx(test,"[0-9]",type="around")
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strsplitx(test, "[0-9]", type = "around")
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}
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@ -3,10 +3,11 @@
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#devtools::install_github("pegeler/REDCapRITS/R@longitudinal-data")
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# Debugging reading in longitudinal datasets ------------------------------
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# setwd(here::here(""))
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# Reading in the files
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file_paths <- file.path(
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"../test-data/test_splitr/",
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"test-data/test_splitr",
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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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