Optionally upload a CSV of data that will be available as data frame "df":
# Thanks to the UCLA IDRE for this example http://www.ats.ucla.edu/stat/r/dae/logit.htm library(aod) library(ggplot2) # if you are ever missing a package, start R as root (i.e. sudo R) and use install.packages("packagename") to get it cat("logit is for a binary outcome (e.g., do or do not get accepted to grad school, based on GRE, GPA, and ") cat("undergrad school prestige ranking)\n") mydata <- read.csv("https://stats.idre.ucla.edu/stat/data/binary.csv") head(mydata) summary(mydata) sapply(mydata, sd) mydata$rank <- factor(mydata$rank) mylogit <- glm(admit ~ gre + gpa + rank, data = mydata, family = "binomial") summary(mylogit) cat("I just realized that I do not know how to use these results. Please call/text if you can teach me 804-313-9894.\n") # CIs using profiled log-likelihood confint(mylogit) wald.test(b = coef(mylogit), Sigma = vcov(mylogit), Terms = 4:6)
Examples
matrix math
set operations
dates
time series linear regression
bar plot
box plot
pie chart
using uploaded data
plot a simple x-y function
normal distribution and histogram
linear regression
function with loop
functions, tables, math notation
logit regression
f statistic test