formula_helper: Formel-Objekte bearbeiten

In stp4/stp25formula: Formulas Transformation Functions

Description

Formulas

clean_dots_formula: Formel bereinigen

formula_split stolen from mosaic ggformula

make_formula: Formel erstellen in berechne_all(...) verwendet. Hier wird cbind(a,b,c)~g ausgegebeb.

check_data: prueft ob variablen vorhanden sind bzw ob Faelle NA sind.

makeNamesNum: aus Nummern die Namen extrahieren

Usage

formula_helper(...)

clean_dots_formula(x, data = NULL, names_data = names(data))

formula_split(x)

make_formula(measurevar, groupvars = NULL)

check_data(data, vars = NULL)

makeNamesNum(measure, data, meAsNum = grepl("^[[:digit:]]", measure))

Arguments

...	weitere einstellungen
x	Formula
data, names_data	data.frame
measurevar, groupvars	mamen als strings
vars	in check_data
measure	Variablen
meAsNum	logical welche sind Zahlen
data	Daten als data.frame

Value

liste

clean_dots_formula: formula - Objekt

formula_split: liste formula, condition, facet_type

check_data: Logical und wen FALSE ueber cat die Objekt die falsch sind

string( )

Examples

data <- data.frame(x = NA, y = NA, z = NA)
stp25formula:::clean_dots_formula(x ~ y, data)
stp25formula:::clean_dots_formula(. ~ x + y, data)
stp25formula:::clean_dots_formula(x + y ~ ., data)
stp25formula:::clean_dots_formula(~., data)
stp25formula:::formula_split(a+b~x|y)



make_formula("a", "b")
make_formula("a", c("b","c"))
make_formula("a", ~b+c)
make_formula(c("a", "d"), c("b","c"))


dat<- fata.frame(sex=1:2, m1=1:2, m3=1:2)
check_data(dat, c("m1", "m2") )
check_data(dat, c("m1", "sex") )


#  measure <- c("geschl", "1" , "3:5", 1)
#  stp25formula:::makeNamesNum(measure,  data=dat)

stp4/stp25formula documentation built on Sept. 17, 2021, 2:04 p.m.