Statistics: An Introduction Using R, 2nd Edition

Index

Entries in bold are R functions

• 1 parameter “1” as the intercept
• 1:6 generate a sequence 1 to 6
• = = (“double equals”) logical EQUALS
• != logical NOT EQUAL
  • for barplot
  • influence testing
  • with subsets
• / division
• / nesting of explanatory variables
• %% modulo
• & logical AND
• | conditioning (“given”)
• ( ) arguments to functions
• (a,b] from and including a, up to but not
• including b
• * main effects and interaction terms in a model
• * multiplication
• : generate a sequence; e.g. 1:6
• [[ ]] subscripts for lists
• [ ] subscripts
• [a,b) include b but not a
• \\ double backslash in file paths
• ^ for powers and roots
• { } in defining functions
• in for loops
• <- gets operator
• < less than
• > greater than
• 1st Quartile with summary
• 3rd Quartile with summary
• a intercept in linear regression
• a priori contrasts
• abline function for adding straight lines to a
  • plots
  • after Ancova
  • in Anova
  • with a linear model as its argument
• abline(h = 3) draw a horizontal line
• abline(lm(y ∼ x)) draw a line with a and b
  • estimated from the linear model y ∼ x
• abline(v = 10) draw a vertical line at x =
• absence of evidence
• acceptance null hypothesis
• age effects longitudinal data
• age-at-death data using glm
• aggregation and randomization
• aggregation count data
• AIC Akaike's Information Criterion
• air pollution correlations
• aliasing introduction
• analysis of covariance, see Ancova
• analysis of deviance count data
  • proportion data
• analysis of variance, see Anova
• Ancova
  • contrasts
  • order matters
  • subscripts
  • with binary response
  • with ...