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Description

Data Bank for Statistical Analysis and Visualization.

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

Build Status

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)
Metadata

Version

0.1.0

License

Unknown

Platforms (75)

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