| read_scdf | R Documentation | 
Use the read_scdf function to load single-case data csv, excel, or yaml
files.
read_scdf(
  file,
  cvar = "case",
  pvar = "phase",
  dvar = "values",
  mvar = "mt",
  sort_cases = FALSE,
  phase_names = NULL,
  type = NA,
  na = c("", "NA"),
  sort.labels = NULL,
  phase.names = NULL,
  ...
)
| file | Either a character string defining the file to be loaded (e.g.
 | 
| cvar | Sets the variable name of the "case" variable. Defaults to
 | 
| pvar | Sets the variable name of the "phase" variable. Defaults to
 | 
| dvar | Sets the variable name of the "values" variable. Defaults to
 | 
| mvar | Sets the variable name of the "mt" variable. Defaults to  | 
| sort_cases,sort.labels | If set TRUE, the resulting list is sorted by label names (alphabetically increasing). | 
| phase_names,phase.names | A character vector with phase names. Defaults to the phase names provided in the phase variable. | 
| type | Format of the file to be loaded. Either "csv", "xlsx", "xls", "excel", "yml" is possible. By default (NA) the type is extracted from the file extension. | 
| na | Character vector of strings to interpret as missing values. | 
| ... | Further arguments passed to the respective read function. | 
Returns a single-case data frame. See scdf to learn
about the format of these data frames.
Juergen Wilbert
read.table(), readRDS()
Other io-functions: 
convert(),
write_scdf()
## Read SC-data from a file named "study1.csv" in your working directory
# study1 <- read_scdf("study1.csv")
## Read SC-data from a .csv-file with semicolon as field and comma as decimal separator
# study2 <- read_scdf("study2.csv", sep = ";", dec = ",")
## write_scdf and read_scdf
filename <- file.path(tempdir(), "test.csv")
write_scdf(exampleA1B1A2B2_zvt, filename)
dat <- read_scdf(filename, cvar = "case", pvar = "part", dvar = "zvt", mvar = "day")
res1 <- describe(exampleA1B1A2B2_zvt)$descriptives
res2 <- describe(dat)$descriptives
all.equal(res1,res2)
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