get_data: get_data

In stp4/stp25tools: Tools for data wrangling and statistical transformations

get_data

Description

Daten importieren:

Read Text Lines

Usage

get_data(
  file = NA,
  na.strings = NULL,
  dec = ".",
  sep = ";",
  sheet = 1,
  range = NULL,
  skip = 0,
  label = 0,
  as_tibble = TRUE,
  cleanup.names = TRUE,
  cleanup.encoding = FALSE,
  cleanup.factor = TRUE,
  tabel_expand = FALSE,
  id.vars = 1,
  value = "value",
  user_na = FALSE,
  from = "UTF8",
  to = "latin1",
  encoding = NULL,
  header = TRUE,
  fill = TRUE,
  comment.char = "",
  quote = "\"",
  ...
)

read.text2(
  string,
  na.strings = c("NA", "na"),
  sep = "",
  dec = ".",
  stringsAsFactors = TRUE
)

Arguments

file	Demo.xla, Demo.sav, Demo.csv - ist ein Pfad zu einem csv, xls, sav oder Rdata Datensatz oder ein String in Textformat dierekt im R-File.
na.strings	a character vector of strings which are to be interpreted as NA values.
dec	the character used in the file for decimal points.
sep	the field separator character.
sheet, skip, range	an readxl::read_excel
label	use attribut label
as_tibble	output
cleanup.encoding, cleanup.names, cleanup.factor	cleanup UTF-8 = FALSE,
tabel_expand	logical FALSE - Tabellen mit haufigkeiten werden als Dataframe im long-Format ausgegeben
id.vars	nur mit tabel_expand - Nummer und Name der ID-Variablen bei tabel_expand default ist 1.
value	nur mit tabel_expand - Name der output-variable bei tabel_expand.
user_na	If TRUE variables with user defined missing will be read into labelled_spss objects. If FALSE, the default, user-defined missings will be converted to NA.
encoding, from, to	Encoding
header	an SPSS
fill	an CSV
comment.char	an csv
quote	Lesen der csv- Files = ";", = "\"", ".",
...	Argumente fuer spss und csv. Bei SPSS-Files kann die Zeichencodierung mit cleanup.encoding ="UTF-8" geaendert werden.
string	character string
stringsAsFactors	TRUE

Details

xlsx: readxl::read_excel(file, sheet, skip, range)

csv: read.table(file, header, sep, quote, dec, na.strings, skip, fill, comment.char)

sav: haven::read_sav(file, encoding, user_na)

Text: read.text2(file, dec)

Value

data.frame

Examples

# require(stp25tools)

dat <- get_data("
sex treatment control
m  2 3
f  3 4
",
                tabel_expand = TRUE,
                id.vars = 1)

xtabs(~ sex + value, dat)


dat <- get_data(
  "
sex treatment  neg  pos
f   KG          3   3
f   UG          4   5
m   KG          5   4
m   UG          4   2
",
  tabel_expand = TRUE,
  id.vars = 1:2,
  value = "befund"
)

ftable(xtabs(~ sex + treatment + befund, dat))
 
 ## Not run: 
if(file.exists("R/dummy.csv")){
  
  get_data("R/dummy.csv", dec = ",", na.strings = "-", skip=1, label=1)
  get_data("R/dummy.xlsx", na.strings = "-")
  get_data("R/dummy.xlsx")
  
  x <- get_data("R/dummy.sav")
  get_label(x)[1:4]
  
}

## End(Not run)

stp4/stp25tools documentation built on Feb. 27, 2025, 11:14 p.m.