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Contains data organized by topic: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.

**Categorical Data**- housetasks.raw
- titanic.raw

**Regression Model**- marketing

**Comparing Two Means**- mice
- mice2
- genderweight

**Independent-Measures ANOVA**- heartattack
- headache
- performance
- jobsatisfaction

**Repeated Measures ANOVA**- selfesteem
- selfesteem2
- weightloss
- depression

**Mixed ANOVA**- anxiety

**ANCOVA**- stress

**Comparing Proportions**- properties

The two data sets (`Titanic`

and `housetasks`

) are frequency/contingency table. We'll create our demo data sets by recovering the original data from Titanic and housetasks tables.

To do so, first copy and paste the following helper function:

```
counts_to_cases <- function(x, countcol = "Freq") {
if(!inherits(x, "table")) x <- as.table(as.matrix(x))
x <- as.data.frame(x)
# Get the row indices to pull from x
idx <- rep.int(seq_len(nrow(x)), x[[countcol]])
# Drop count column
x[[countcol]] <- NULL
# Get the rows from x
x <- x[idx, ]
rownames(x) <- 1:nrow(x)
x
}
```

Then, recover the original data as follow:

```
# Load the data
data("Titanic")
data("housetasks", package = "factoextra")
# Recover the original raw data
titanic.raw <- counts_to_cases(Titanic)
housetasks.raw <- counts_to_cases(housetasks)
```

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