R: Volume of injected waste water from Rocky Mountain Arsenal...
Wastewat
R Documentation
Volume of injected waste water from Rocky Mountain Arsenal and number of earthquakes near Denver
Description
Data for Exercise 9.18
Usage
Wastewat
Format
A data frame with 44 observations on the following 4 variables.
gallons
a numeric vector
number
a numeric vector
ln.no.
a numeric vector
index
a numeric vector
Source
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Duxbury
Examples
str(Wastewat)
attach(Wastewat)
model <- lm(number~gallons)
summary(model)
detach(Wastewat)
remove(model)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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> library(BSDA)
Loading required package: e1071
Loading required package: lattice
Attaching package: 'BSDA'
The following object is masked from 'package:datasets':
Orange
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BSDA/Wastewat.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Wastewat
> ### Title: Volume of injected waste water from Rocky Mountain Arsenal and
> ### number of earthquakes near Denver
> ### Aliases: Wastewat
> ### Keywords: datasets
>
> ### ** Examples
>
> str(Wastewat)
'data.frame': 44 obs. of 4 variables:
$ gallons: num 4.2 7.2 8.4 8 5.2 6 5 5.6 4 3.6 ...
$ number : int NA 2 12 35 23 29 24 8 6 20 ...
$ ln.no. : num NA 0.693 2.485 3.555 3.135 ...
$ index : int 1 2 3 4 5 6 7 8 9 10 ...
> attach(Wastewat)
> model <- lm(number~gallons)
> summary(model)
Call:
lm(formula = number ~ gallons)
Residuals:
Min 1Q Median 3Q Max
-28.881 -8.961 -0.300 3.176 59.151
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 3.5895 3.4834 1.030 0.309
gallons 3.7905 0.7843 4.833 1.91e-05 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 14.33 on 41 degrees of freedom
(1 observation deleted due to missingness)
Multiple R-squared: 0.363, Adjusted R-squared: 0.3474
F-statistic: 23.36 on 1 and 41 DF, p-value: 1.915e-05
> detach(Wastewat)
> remove(model)
>
>
>
>
>
> dev.off()
null device
1
>