Tools for Graphical Inference
Calculating the mean distances of each plot in the lineup.
Use decrypt to reveal the position of the real data.
Distance for univariate data
Power calculations.
Add true data into data frame containing null data sets.
Binned Distance
Distance based on side by side Boxplots
Calculating the difference between true plot and the null plot with th...
Empirical distribution of the distance
Plotting the distribution of the distance measure
Find plot data. If data is not specified, this function will attempt t...
Los Angeles Lakers play-by-play data.
Check distributional assumptions using histograms and the lineup proto...
Check distributional assumptions using Q-Q plots and the lineup protoc...
Compare residual plots of a fitted model to plots of null residuals.
Distance based on separation of clusters
The line-up protocol.
Generate null data with a specific distribution.
Computing th distance for the null plots
Generate null data with null residuals from a model.
Generate null data by permuting a variable.
Generate null data by simulating from a time series model.
Finds the number of bins in x and y direction which gives the maximum ...
P-value calculations.
Distance based on the regression parameters
Bootstrap residuals.
Parametric bootstrap residuals.
Permutation residuals.
Rotation residuals.
Residuals simulated by a normal model, with specified sigma
The Rorschach protocol.
Sample size calculator
A theme to minimally strip away the context
Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.