A wrapper around afex::aov_ez wich allows mix effects model.
Usage
aov_r(
data,
response,
between = NULL,
within = NULL,
rowid = NULL,
ss_type = 3,
effsize.type = "unbiased",
sphericity = "auto",
conf.level = 0.95,
character.only = FALSE,
markdown
)Arguments
- data
Your dataset in long format, can have some missing values.
- response
Response variable, numeric.
- between
Character indicating the between-subject(s) factor(s)/column(s) in data. Default is NULL indicating no between-subjects factors. Must be character vector if more than one between-subject(s) factor(s)/column(s) is specified.
- within
Character indicating the within-subject(s) factor(s)/column(s) in data. Default is NULL indicating no between-subjects factors. Must be character vector if more than one within-subject(s) factor(s)/column(s) is specified.
- rowid
Character (of length 1) indicating the subject identifier column in data.
- ss_type
Type of sum of squares for repeated measures ANOVA (defaults to 3). Possible values are "II", "III", 2, or 3.
- effsize.type
The effect size used to estimate the effects of the factors on the response variable. Possible values are "eta" ("biased") or "omega" ("unbiased", the default).
- sphericity
If "none", then sphericity assumption is assumed to be met for within-subject(s) factor(s). "GG": applies Greenhouse-Geisser correction. "HF": applies Hyunh-Feldt correction. 'auto' (Default) choose the appropiate correction based on Mauchly test of sphericity (p-value > 0.05)
- conf.level
Confidence/Credible Interval (CI) level. Default to 0.95 (95%).
- character.only
Logical. checks whether to use the unevaluated expression or its content (when TRUE), asumming is a character vector. Defaults to
FALSE.- markdown
Logical (default FALSE). If
lblis TRUE, then this argument specify if the report-ready labels should be formated for inline code for R markdown (using mathjax and markdown syntax), or if the output should be in plain text (the default).