sebastiansauer

extract_solutions <- function(file) {
  
  require(tidyverse)
  
  # input:
  # file: the output file from the exam2nops call storing the exams meta info
  
  # output:
  # list of solutions for each exam variant and each question

sebastiansauer

This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019) (preloaded format=pdflatex 2020.1.13)  28 JAN 2020 11:54
entering extended mode
 restricted \write18 enabled.
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**testing.tex
(./testing.tex
LaTeX2e <2019-10-01> patch level 3

(/Users/sebastiansaueruser/Library/TinyTeX/texmf-dist/tex/latex/beamer/beamer.c
ls

sebastiansauer

state,area_nr,area_name,total_n,germans_n,foreigner_n,pop_move_n,pop_migr_background_n,income,unemp_n,votes_total,afd_votes,afd_prop,east,state_id,total_n_z,germans_n_z,foreigner_n_z,pop_move_n_z,pop_migr_background_n_z,income_z,unemp_n_z,votes_total_z,afd_votes_z,afd_prop_z
Schleswig-Holstein,1,Flensburg – Schleswig,282800,266700,16100,3478440,28280,20265,20361,170396,11647000,0.06835254348693631,0,15,0.2103609895241015,0.7384953705950867,-0.6866607746103975,-0.23405819513595597,-0.8241784980071718,-0.331229037339419,0.5294325736242255,0.7420571802149715,-0.9559380206641114,-1.0844472782356187
Schleswig-Holstein,2,Nordfriesland – Dithmarschen Nord,232300,219700,12600,3066360,18584,22159,16725,138075,9023000,0.06534854245880861,0,15,-1.12317180392684,-0.9301927624096695,-0.8739260711324136,-0.5246213450924033,-1.1451159729868976,0.4782205523605706,-0.0022599637360526327,-0.8725210301240619,-1.2691398862049443,-1.1394454488402648
Schleswig-Holstein,3,Steinburg – Dithmarschen Süd,220800,209800,11000,2627520,203

sebastiansauer

sebastiansauer

Using Git

Global Settings

Related Setup: https://gist.github.com/hofmannsven/6814278

Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/

sebastiansauer

library(ggplot2)
# library(cowplot)
library(dplyr)

logist <- function(x){
  y = exp(x) / (1 + exp(x))
}

p1 <- ggplot(data_frame())

sebastiansauer

# Plot path diagram with {DiagrammeR}

data(Wage, package = "ISLR")  #load data


lm_wage <- lm(wage ~ health + age + health:age, data = Wage)  # run linear model
summary(lm_wage)

library(semPlot)  # plot path diagram with {semPlot}
semPaths(lm_wage,  whatLabel = "est", vsize.man = 16, edge.label.cex=0.6)

sebastiansauer

###############################################################################
### Beispiel-Analyse des Datensatzes "tips"
### von Sebastian Sauer, letztes Update: 2016-01-18
### Zugang zu den Daten: Der Datensatz findet sich im Paket "reshape2"
###############################################################################

# Hinweis: Es ist ganz normal, Syntax/Befehle nachzuschlagen :)
# Eine Möglichkeit dazu ist mit help(Befehl), z.B.
help(library)  # oder mit google :)

sebastiansauer

library(dplyr)
data(Wage, package = "ISLR")


Wage %>% 
  mutate(wage_f = ntile(wage, 2)) %>%  # bin it
  group_by(wage_f, health, race) %>% 
  summarise(count = n()) %>% 
  ggplot(aes(x = factor(wage_f), y = count, fill = race)) + 
  geom_bar(stat = "identity") + 

sebastiansauer

#Barplots with exact numbers


data(tips, package = "reshape2")  # load some data

library(dplyr)
library(tidyr)
library(ggplot2)

tips %>%