The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

datarium: Data bank for statistical analyses and visualization

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

Helper functions

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)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.