ShuttleDisaster: Ambient Temperature and O-Ring Failures

Description Usage Format Source References Examples

Description

Data on temperature and number of O-ring failures for 23 space shuttle launches.

Usage

1

Format

A data frame with 23 observations on the following 2 variables.

temperature

a numeric vector

failures

a numeric vector

Source

Dalal, S.R., E.B. Fowlkes, and B. Hoadley. 1989. Risk analysis of the Space Shuttle: Pre-Challenger prediction of failure. Journal of the American Statistical Association 408: 945-957.

References

Tufte, E.R. 1997. Visual Explanations: Images and Quantities, Evidence and Narrative. Graphics Press.

http://www.edwardtufte.com/tufte/

Examples

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data(ShuttleDisaster)
str(ShuttleDisaster)
xyplot( jitter(failures,amount=.1) ~ temperature, ShuttleDisaster,
  ylab='number of failures'
  )

Example output

Loading required package: nlme
Loading required package: lattice
Loading required package: grid
Loading required package: mosaic
Loading required package: dplyr

Attaching package: 'dplyr'

The following object is masked from 'package:nlme':

    collapse

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggformula
Loading required package: ggplot2
Loading required package: ggstance

Attaching package: 'ggstance'

The following objects are masked from 'package:ggplot2':

    GeomErrorbarh, geom_errorbarh


New to ggformula?  Try the tutorials: 
	learnr::run_tutorial("introduction", package = "ggformula")
	learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix

The 'mosaic' package masks several functions from core packages in order to add 
additional features.  The original behavior of these functions should not be affected by this.

Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.

Attaching package: 'mosaic'

The following object is masked from 'package:Matrix':

    mean

The following object is masked from 'package:ggplot2':

    stat

The following objects are masked from 'package:dplyr':

    count, do, tally

The following objects are masked from 'package:stats':

    IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
    quantile, sd, t.test, var

The following objects are masked from 'package:base':

    max, mean, min, prod, range, sample, sum

'data.frame':	23 obs. of  2 variables:
 $ temperature: int  66 70 69 68 67 72 73 70 57 63 ...
 $ failures   : int  0 1 0 0 0 0 0 0 1 1 ...

abd documentation built on May 2, 2019, 4:46 p.m.