Description Usage Arguments Value References Examples
Design function used to specify the parameters used in the simulation
1 2 | ANOVA_design(design, n, mu, sd, r = 0, labelnames = NULL,
plot = TRUE)
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design |
String specifying the ANOVA design. |
n |
Sample size in each condition |
mu |
Vector specifying mean for each condition |
sd |
standard deviation for all conditions |
r |
Correlation between dependent variables (single value or matrix) |
labelnames |
Optional vector to specifying factor and condition names (recommended, if not used factors and levels are indicated by letters and numbers) |
plot |
Should means plot be printed (defaults to TRUE) |
Returns Single data-frame with simulated data, design, design list, factor names, formulas for ANOVA, means, sd, correlation, sample size per condition, correlation matrix, covariance matrix, design string, labelnames, labelnameslist, factor names, meansplot
too be added
1 2 3 4 5 6 7 | ## Set up a within design with 2 factors, each with 2 levels,
## with correlation between observations of 0.8,
## 40 participants (who do all conditions), and standard deviation of 2
## with a mean pattern of 1, 0, 1, 0, conditions labeled 'condition' and
## 'voice', with names for levels of "cheerful", "sad", and "human", "robot"
ANOVA_design(design = "2w*2w", n = 40, mu = c(1, 0, 1, 0), sd = 2, r = 0.8,
labelnames = c("condition", "cheerful", "sad", "voice", "human", "robot"))
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