oldwash: oldwash

In MPV: Data Sets from Montgomery, Peck and Vining

oldwash

Description

The oldwash dataframe has 49 rows and 8 columns. The data are from the start up of a wash still considering the amount of time it takes to heat up to a specified temperature and possible influencing factors.

Usage

data("oldwash")

Format

A data frame with 49 observations on the following 8 variables.

Date

character, the date of the run

startT

degrees Celsius, numeric, initial temperature

endT

degrees Celsius, numeric, final temperature

time

in minutes, numeric, amount of time to reach final temperature

Vol

in litres, numeric, amount of liqiud in the tank (max 2000L)

alc

numeric, the percentage of alcohol present in the liquid

who

character, relates to the person who ran the still

batch

factor with levels 1 = first time through, 2 = second time through

Details

The purpose of the wash still is to increase the percentage of alcohol and strip out unwanted particulate. It can take a long time to heat up and this can lead to problems in meeting production time limits.

Source

Charisse Woods, Endless Summer Distillery (2014)

Examples

oldwash.lm<-lm(log(time)~startT+endT+Vol+alc+who+batch,data=oldwash)
summary(oldwash.lm)
par(mfrow=c(2,2))
plot(oldwash.lm)

data2<-subset(oldwash,batch==2)
hist(data2$time)
data1<-subset(oldwash,batch==1)
hist(data1$time)

oldwash.lmc<-lm(time~startT+endT+Vol+alc+who+batch,data=data1)
summary(oldwash.lmc)
plot(oldwash.lmc)

oldwash.lmd<-lm(time~startT+endT+Vol+alc+who+batch,data=data2)
summary(oldwash.lmd)
plot(oldwash.lmd)

MPV documentation built on April 14, 2025, 9:07 a.m.