ranova | R Documentation |
Robust Analysis of Variance
ranova( data, dep, factors = NULL, method = "trim", ph = FALSE, tr = 0.2, est = "mom", nboot = 599, dist = "proj" )
data |
the data as a data frame |
dep |
a string naming the dependent variable from |
factors |
a vector of strings naming the fixed factors from
|
method |
|
ph |
|
tr |
a number between 0 and 0.5, (default: 0.2), the proportion of measurements to trim from each end, when using the trim and bootstrap methods |
est |
|
nboot |
a number (default: 599) specifying the number of bootstrap samples to use when using the bootstrap method |
dist |
|
A results object containing:
results$main | the table of ANOVA results | ||||
results$phs | the table of posthoc tests | ||||
Tables can be converted to data frames with asDF
or as.data.frame
. For example:
results$main$asDF
as.data.frame(results$main)
data('goggles', package='WRS2') ranova(goggles, dep = 'attractiveness', factors = c('gender', 'alcohol'), ph = TRUE) # # ROBUST ANOVA # # Robust ANOVA # ------------------------------------ # Q p # ------------------------------------ # gender 1.67 0.209 # alcohol 48.28 0.001 # gender:alcohol 26.26 0.001 # ------------------------------------ # Note. Method of trimmed means, # trim level 0.2 # # # POST HOC TESTS # # Post Hoc Tests - gender # -------------------------------------------------------- # psi-hat p Lower Upper # -------------------------------------------------------- # Female Male 10.0 0.209 -6.00 26.0 # -------------------------------------------------------- # # # Post Hoc Tests - alcohol # ------------------------------------------------------------- # psi-hat p Lower Upper # ------------------------------------------------------------- # None 2 Pints -3.33 0.611 -20.5 13.8 # None 4 Pints 35.83 < .001 19.3 52.3 # 2 Pints 4 Pints 39.17 < .001 22.5 55.9 # ------------------------------------------------------------- #
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