Package: titanic 0.1.0.9000

titanic: Titanic Passenger Survival Data Set

This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", with variables such as economic status (class), sex, age, and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are used in a very well known Kaggle competition; formatting the raw data sets in a package hopefully lowers the barrier to entry for users new to R and machine learning.

Authors:Paul Hendricks [aut, cre]

titanic_0.1.0.9000.tar.gz
titanic_0.1.0.9000.zip(r-4.7-any)titanic_0.1.0.9000.zip(r-4.6-any)titanic_0.1.0.9000.zip(r-4.5-any)
titanic_0.1.0.9000.tgz(r-4.6-any)titanic_0.1.0.9000.tgz(r-4.5-any)
titanic_0.1.0.9000.tar.gz(r-4.7-any)titanic_0.1.0.9000.tar.gz(r-4.6-any)
titanic_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
titanic/json (API)

# Install 'titanic' in R:
install.packages('titanic', repos = c('https://paulhendricks.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paulhendricks/titanic/issues

Datasets:

On CRAN:

Conda:

9.12 score 12 stars 2 packages 1.0k scripts 9.0k downloads 0 exports 0 dependencies

Last updated from:53be2fd391. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK124
source / vignettesOK152
linux-releaseOK86
macos-releaseOK97
macos-oldrelOK93
windows-develOK60
windows-releaseOK67
windows-oldrelOK69
wasm-releaseOK72

Exports:

Dependencies:

Gender Class Model
Built with

Last update: 2015-09-01
Started: 2015-09-01

Gender Model
Built with

Last update: 2015-09-01
Started: 2015-09-01

Introduction to titanic
Built with

Last update: 2015-09-01
Started: 2015-09-01

My First Random Forest
Built with

Last update: 2015-09-01
Started: 2015-09-01