R: Data from a soldering experiment

solder {survival} | R Documentation

## Data from a soldering experiment

### Description

In 1988 an experiment was designed and implemented at one of AT&T's factories to investigate alternatives in the "wave soldering" procedure for mounting electronic componentes to printed circuit boards. The experiment varied a number of factors relevant to the process. The response, measured by eye, is the number of visible solder skips.

### Usage

    data("solder")

### Format

A data frame with 900 observations on the following 6 variables.

`Opening`

  the amount of clearance around the mounting pad (3 levels)

`Solder`

  the amount of solder (Thick or Thin)

`Mask`

  type and thickness of the material used for the solder mask (A1.5, A3, A6, B3, B6)

`PadType`

  the geometry and size of the mounting pad (10 levels)

`Panel`

  each board was divided into 3 panels

`skips`

  the number of skips

### Details

This data set is used as a detailed example in chapter 1 of Chambers and Hastie. Observations 1-360 and 541-900 form a balanced design of 3*2*10*3= 180 observations for four of the pad types (A1.5, A3, B3, B6), while rows 361-540 match 3 of the 6 Solder*Opening combinations with pad type A6 and the other 3 with pad type A3.

### References

J Chambers and T Hastie, Statistical models in S. Chapman and Hall, 1993.

### Examples

    data(solder)
    # The balanced subset used by Chambers and Hastie
    #   contains the first 180 of each mask and deletes mask A6.
    index <- 1 + (1:nrow(solder)) - match(solder$Mask, solder$Mask)
    solder.balance <- droplevels(subset(solder, Mask != "A6" & index <= 180))

[Package survival version 3.2-7 Index]