#' ---
#' title: "Spin HTML"
#' author: "Me"
#' output:
#' html_document:
#' toc: true
#' always_allow_html: yes
#' ---
#'
#+ setup, include=FALSE
knitr::opts_chunk$set(echo = TRUE, warnings=FALSE)
require(stpvers)
note<- "Auswertung für die Puplikationen in medizinische Fachzeitschriften."
#+ setup2, include=FALSE
Projekt("", "spin HTML")
#set_my_options(output="latex")
which_output()
get_my_options()$output
#+ text-asis, results='asis', echo=FALSE
Head("H3", style=3)
Text("
Auswertung für die Puplikationen in medizinische Fachzeitschriften.
Online-Befragung mit LimeSurvey.
Consulting-Services bei der Planung und Auswertung von statistischer Erhebungen.
Analyse von Labor und Messwerten aus Versuchsreihen.")
#+ include='FALSE'
require(wakefield)
set.seed(0815)
DF <- r_data_frame(
n = 120,
id,
race,
age(x = 20:45),
sex, income,
education(x = c("low", "med", "hig"),
prob = c(.2,.45, .35 )),
hour,
iq,
height=height_cm(mean = 50, sd = 10),
died,
Smoker = valid,
m1=age(x = 1:10),
m2=age(x = 1:10),
m3=age(x = 1:10),
m4=age(x = 1:10),
m5=age(x = 1:10),
m6=age(x = 1:10),
date_stamp(prob = probs(12))
) %>% clean_names()
x<- mean(DF$income)
DF<- transform(DF,
income =
round(
(income - x*as.numeric(sex) +
x*as.numeric(education) + x*as.numeric(height)/10 + 1)/1000))
#+ Tbll-Corr-Table, results='asis'
DF %>%
Tbll_corr( ~ m1 + m2 + m3 + m4 + m5 + m6) %>% Output()
stop()
#+ Tbll-Table, results='asis'
DF %>%
Tbll_desc(sex, education,
age[median], height[mean],
smoker,
income[0,mean]) %>%
Output()
#+ Tbll-Table-gr, results='asis'
DF %>%
Tbll_desc(sex,# education,
age[median], height[mean],
smoker,
income[0,mean, anova],
by= ~education,
include.test = TRUE) %>%
Output()
#+ Tbll-Table-lm, results='asis'
Tbll(lm(income ~ sex + age + education + height, DF),
lm(income ~ sex + education + height, DF)) %>% Output()
#+ Tbll-Table-lm-2, results='asis'
Tbll_reg(lm(income ~ sex + age + education + height, DF),
lm(income ~ sex + education + height, DF)) %>% Output()
#' ## Text Output
#'
#' Hallo Welt!
#'
#+ data, include = FALSE
dat <- data.frame(
term = c("A", "B", "C", "D"),
n = c(23, 14, 56, 2),
m = c("4.7 (2.4)", "4.1 (2.3)", "8.9 (3.6)", NA),
stringsAsFactors = FALSE
)
DF2 <-data.frame(
term = c("A", "B", "C", "D"),
G1_k_n = c(23, 14, 56, 2),
G1_k_m = c("4.7 (2.4)", "4.1 (2.3)", "8.9 (3.6)", NA),
G2_n = c(33, 35, 78, 21),
G2_m = c("4.9 (2.7)", "4.7 (2.5)", "4.1 (5.6)", "4.2 (5.6)")
)
#+ default1, results='asis'
dat %>% Output(caption="default", note=note)
DF2 %>% Output(caption="default", note=note)
#' ## Tabelle default
#'
#' set_my_options(output=FALSE)
#'
#+ default
dat %>% Output( caption="default")
dat %>% Output(output="html", caption="html")
# #dat %>% Output(output="word")
dat %>% Output(output="latex", caption="latex")
dat %>% Output(output="text", caption="text")
dat %>% Output(output="pandoc", caption="pandoc")
dat %>% Output(output="markdown", caption="markdown")
dat %>% Output(output="rst", caption="rst")
#' ## Tabelle asis
#+ asis, results='asis'
dat %>% Output( caption="default")
dat %>% Output(output="html", caption="html")
#dat %>% Output(output="word")
dat %>% Output(output="latex", caption="latex")
dat %>% Output(output="text", caption="text")
dat %>% Output(output="pandoc", caption="pandoc")
dat %>% Output(output="markdown", caption="markdown")
dat %>% Output(output="rst", caption="rst")
#+ APA-Table, results='asis'
fit1 <- glm(gruppe ~ lai, hkarz, family = binomial)
thkarz <- as.data.frame(xtabs(~ gruppe + lai, hkarz))
fit2 <- glm(Freq ~ gruppe * lai, thkarz, family = poisson())
APA_Table(fit1, include.odds = TRUE)
#+
APA_Table(fit1, include.odds = TRUE)
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