Description Usage Arguments Value Author(s) Examples
Einfache deskriptive Tabelle die in medizinischen Arbeiten
verwendet werden.
Die Funktion arbeitet Intern mit aggregate
bzw. mit berechne_default()
also aggregate(formula, data,FUN).
Tabelle2: html-Output Tabelle(...)
Describe2: workaraond fuer psych::describe()
Hilfsfunctionen Correlation in Dokument APA2_Correlation.R
conTest Hilfsfunktion fuer Tabellen
conTest Hilfsfunktion fuer Tabellen
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 | ## S3 method for class 'lmerModLmerTest'
Tabelle(
x,
caption = NULL,
note = "",
digits = 2,
fun = function(x) { c(n = length(x), M = mean(x, na.rm = TRUE), SD = sd(x, na.rm
= TRUE)) },
...
)
## S3 method for class 'glm'
Tabelle(
x,
caption = NULL,
note = "",
digits = 2,
fun = function(x) { f__n = length(x) },
...
)
## S3 method for class 'lm'
Tabelle(
x,
caption = NULL,
note = "",
digits = 2,
fun = function(x) { c(f__n = length(x), f__M = mean(x, na.rm = TRUE), f__SD =
sd(x, na.rm = TRUE)) },
...
)
Tabelle(..., output = FALSE)
Tabelle2(..., output = which_output())
## S3 method for class ''NULL''
Tabelle()
## Default S3 method:
Tabelle(
...,
formula = NULL,
fun = NULL,
type = c("2", "1", "freq", "freq.ci", "mean", "median", "ci", "cohen.d", "effsize",
"multiresponse", "describe", "correlation", "custom_fun"),
caption = "Charakteristik",
note = "",
digits = NULL,
APA = FALSE,
test = FALSE,
na.action = na.pass,
exclude = NA,
include.n = TRUE,
include.nr = FALSE,
include.total = FALSE,
include.test = test,
exclude.level = NULL,
max_factor_length = 35,
order = FALSE,
measure.name = "value"
)
Describe2(..., output = FALSE)
## S3 method for class 'data.frame'
Describe2(
data,
...,
by = NULL,
caption = "",
note = "",
stat = c("n", "mean", "sd", "min", "max"),
output = which_output(),
digits = 2
)
## S3 method for class 'formula'
Describe2(
x,
data,
by = NULL,
caption = "",
note = "",
stat = c("n", "mean", "sd", "min", "max"),
output = which_output(),
digits = 2,
...
)
errate_statistik3(
...,
type = NULL,
caption = "",
note = "",
na.action = na.pass,
exclude = NA,
include.n = TRUE,
include.nr = FALSE,
include.total = FALSE,
include.test = test,
exclude.level = NULL,
max_factor_length = 35,
order = FALSE
)
conTest(fml, data, test_name = TRUE)
catTest(fml, data, include.test = "chisq.test")
|
caption, note |
Uberschrift an Output |
digits |
Kommastellen |
fun |
Eigene Function am Berechne |
... |
Die auszuwertenden Variablen sex, age="mean", usw |
formula |
An dcast Gruppe ~ .id ist zum Zeilen und Spalten vertauschen |
type |
1 oder 2 1 ist kurzes Format 2 int lang |
APA |
APA2 Style TRUE/FALSE |
test, include.test |
Signifikanz Test include.test "wilcox.test","u.test", "kruskal.test","h.test", "chisq.test","t.test", "aov", "anova", "SPSS", "Hmisc" "shapiro.test" "KS.test" |
na.action, exclude |
an Formula |
include.n, include.nr, include.total |
Anzahl ausgeben |
exclude.level |
Wenn ein Factor zwei Levels hat kann einer Ausgeschlossen werden exclude.level ="no" bei levels = c("yes", "no") |
max_factor_length |
Fehler bei langen Faktoren abfangen |
stat |
result von psych kann "n", "mean", "sd", "median", "trimmed", "mad", "min" , "max", "range", "skew", "kurtosis" ,"se" |
Tabelle: data.frame oder list mit data.frame Tabelle2: HTML
Wolfgang Peter
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | library(dplyr)
library(tidyr)
#names(varana)
# set_my_options(mittelwert=list(median.style="Quantil")) # ++IQR
require(stp25data)
varana2 <- varana %>%
gather(Zeit, Merkfgk, m1:m4) %>%
mutate(Zeit = factor(Zeit, Cs(m1, m2, m3 , m4), Cs(t0, t1, t2, t3))) %>%
stp25aggregate::Label(Merkfgk = "Merkfaehigkeit")
Tabelle(Merkfgk ~ Zeit, varana2)
varana2 %>% Tabelle(Merkfgk, by = ~ Zeit)
varana %>% Tabelle(m1, m2, m3 , m4)
#varana %>% Tabelle(
# 4:7,
# by = ~ geschl,
# fun = function(x)
# c(
# n = length(na.omit(x)),
# m = mean(x),
# sd = sd(x)
# )
#)
get_my_options()$apa.style$mittelwert$include_name
varana2 %>% Tabelle2(Merkfgk, by=~ Zeit)
Tabelle(
m1[median] + m2[median] + m3[median] + m4[median] ~ geschl,
varana,
APA = TRUE,
include.n = FALSE,
test = TRUE
)
c(
"wilcox"=Tabelle(alter ~ geschl, varana, APA=TRUE, test="wilcox")[[1]]$statistics[1],
"h.test"=Tabelle(alter ~ geschl, varana, APA=TRUE, test="h.test")[[1]]$statistics[1],
"anova"=Tabelle(alter ~ geschl, varana, APA=TRUE, test="anova")[[1]]$statistics[1],
"t.test"=Tabelle(alter ~ geschl, varana, APA=TRUE, test="t.test")[[1]]$statistics[1],
"hmisc"=Tabelle(alter ~ geschl, varana, APA=TRUE, test="Hmisc")[[1]]$statistics[1]
)
Tabelle(alter ~ geschl, varana, APA=TRUE)
Tabelle(alter ~ geschl, varana, include.n=FALSE, APA=TRUE)
Tabelle(alter ~ geschl, varana, include.nr=TRUE, APA=TRUE)
Tabelle(alter ~ geschl, varana, include.total=TRUE, APA=TRUE)
Tabelle(alter ~ geschl, varana, include.test=TRUE, APA=TRUE)
|
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