These methods take objects from various R functions that calculate ANOVA to create formatted character
strings to report the results in accordance with APA manuscript guidelines. For anova
-objects from model comparisons see apa_print.list
.
apa_print.aov(x, ...)apa_print.summary.aov(x, ...)
apa_print.aovlist(x, ...)
apa_print.summary.aovlist(x, ...)
apa_print.Anova.mlm(x, correction = getOption("papaja.sphericity_correction"),
intercept = FALSE, ...)
apa_print.summary.Anova.mlm(x,
correction = getOption("papaja.sphericity_correction"), intercept = FALSE,
...)
apa_print.afex_aov(x, correction = getOption("papaja.sphericity_correction"),
intercept = FALSE, ...)
apa_print.anova(x, ...)
Output object. See details.
Additional arguments passed to to print_anova
.
Character. In the case of repeated-measures ANOVA, the type of sphericity correction to be used (GG
for Greenhouse-Geisser or HF
for Huyn-Feldt methods or none
). Default is GG
.
Logical. Indicates if intercept test should be included in output.
apa_print.aov
and related functions return a named list containing the following components according to the input:
statistic
A named list of character strings giving the test statistic, parameters, and p value for each factor.
estimate
A named list of character strings giving the effect size estimates for each factor.
full_result
A named list of character strings comprised of estimate
and statistic
for each factor.
table
A data.frame containing the complete ANOVA table, which can be passed to apa_table
.
The factor names are sanitized to facilitate their use as list names (see Value section). Parentheses
are omitted and other non-word characters are replaced by _
.
If in_paren
is TRUE
parentheses in the formatted string, such as those surrounding degrees
of freedom, are replaced with brackets.
Bakeman, R. (2005). Recommended effect size statistics for repeated measures designs. Behavior Research Methods , 37 (3), 379--384. doi:10.3758/BF03192707
Other apa_print: apa_print.BFBayesFactor
,
apa_print.glht
,
apa_print.glm
,
apa_print.htest
,
apa_print.list
, apa_print
# NOT RUN {
## From Venables and Ripley (2002) p. 165.
npk_aov <- aov(yield ~ block + N * P * K, npk)
apa_print(npk_aov)
# }
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