This page explains how to run the semiparametric fitting app. There are essentially two ways to do this:
A) simply run the Online Fitting Tool
or
B) Install R and Shiny on your Computer (this should take no more than 30 minutes to do and requires no special knowledge)To run the app on your own computer do the following.
1) Download and install R from here
2) Start R. Copy the following text into R and hit enter
install.packages(c("shiny","Rcpp","numDeriv","ggplot2","grid"))
you will be asked to pick a download site from a list, just pick any. It will then install a number of packages. When it is done close R by clicking on the x in the upper right corner. You will be asked whether you want to save something, just say no. Steps 1 and 2 need to be done only once.
3) simply click on RolkeSemipar. This will open R again. When it has started at the prompt type
runSemipar()
this will download the latest version of the app from my website and start it.
If you want everything locally on your computer you can also download semipar.zip, unzip it into the folder foo and then run
runSemipar("foo")
and hit enter. It will give you a list of the available apps, just type the name of the one you want and then enter. When you are done go back to R, hit the Esc key and close the program by clicking on the x in the upper right corner. You will be asked whether you want to save something, just say no
Note to Instructors: these apps are freely available to anyone. I would appreciate, however, if you let me know that you are using them, as well as your experiences with them. Also, if you have any suggestions for improvements, additions or whole new apps, please let me know!
Some suggestions for what to do with the apps can be found here
Construct a Frequency Table and Histogram histogram.zip
Mean or Median? meanmedian.zip
Calculate a Standard Deviation standdev.zip
Empirical Rule emprule.zip
Online Now! Drawing a Boxplot boxplot.zip
The Geometric Distribution geom.zip
The Normal Distribution normal.zip
Illustrate Probabilities under a Normal Curve normalprob.zip
Central Limit Theorem clt.zip
Illustration of the Meaning of a Confidence Interval confint.zip
Illustration of the concept of p Value pvalue.zip
Online Now! Illustration of the Meaning of the Correlation Coefficient correlation.zip
Random Problem Generator for Statistical Inference infproblems.zip
Illustration of the concept of Power of a Test using Proportions powerProp.zip
Illustration of the concept of Power of a Test using the Mean powerMean.zip
Chisquare analysis of a 2x2 table 2_2_table.zip
Twosample t Test twosample.zip
Online Now! Illustration of Least Squares Regression lsr.zip
Calculations for the Correlation Coefficient and of Least Squares Regression corcalc.zip
Assumptions of Least Squares Regression assumptionsLSR.zip
Illustration of the Idea behind Analysis of Variance anova.zip
Draws Graphs for some standard Distributions graphs.zip
Transformations transformations.zip
Polynomial Regression polyreg.zip
Online Now! Taylor Approximation taylor.zip
Approximating an Integral by a Riemann sum integral.zip
Illustration of several Numerical Integration Methods numint.zip
Random Walk in 1, 2 or 3 Dimensions rw.zip