STA2101/442 Fall 2012

Data Sets

• mcars2.data
• mcars3.data: Like mcars2 except weight is in 1000k and length is in meters
• mcars4.data: Weight is in kg and fuel consumption is in litres per 100k.
• sat.data
• TVshows.data
• Assignment 4, Question
  1. mystery.data
  2. cauchy.data
  3. dexp.data
  4. beta.data
  5. gamma.data
• shoes.data
• poisson.data
• littletubes.data
• randslope.data
• potato2.data
• senic.xls
• mathcat.data
• training.data
• missingcars.data
• birdlung.data
• awards.data
• chickweights.data
• bweight.data
• bunnies.data

R code

• WaldTest: Wald and Wald-like tests
• fpow2: Sample size needed for a given power in a regression model. Takes effect size and desired power as input.
• matpow1.R: Defines the function matpow1 (as well as fpow2 above). The function matpow1 is specific to a single categorical explanatory variable, using regression with cell means coding. So it applies to any fixed effects factorial ANOVA without covariates. You give it a contrast matrix and an "effect" vector of L β - h in SD units. It calculates the effect size and then calls fpow2.
• matpow2.R: Like matpow1, except that the user gives β in standard sdeviation units instead of L β - h.
• powerfun.R: Defines the functions fpow2, matpow1 and matpow2.