R: Data on Static Weights and Weight in Motion of Trucks
E7.5
R Documentation
Data on Static Weights and Weight in Motion of Trucks
Description
The E7.5 data frame has 26 rows and 6 columns.
Usage
data(E7.5)
Format
This data frame contains the following columns:
sw.1
a numeric vector, static weight of axle 1.
wim.1
a numeric vector, weight in motion of axle 1.
sw.23
a numeric vector, static weight of axles 2–3.
wim.23
a numeric vector, weight in motion of axles 2–3.
sw.45
a numeric vector, static weight of axles 4–5.
wim.45
a numeric vector, weight in motion of axles 4–5.
Details
Trucks can be weighted by two methods. In one, a truck needs to go into a
weighting station and each axle is weighted by conventional means. The
other is newer and a somewhat experimental method where a thin pad is placed
on the highway and axles are weighted as trucks pass over it. Former weight
are called static weights (sw) while later are called weights in
motion (wim).
Source
Saleh Mumayiz, Urban Transportation Center, University of Illinois at Chicago,
who compiled the data from a data set provided by the Illinois Department of
Transportation.
Examples
data(E7.5)
summary(E7.5)
plot(E7.5)
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)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
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'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.
> library(SenSrivastava)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/SenSrivastava/E7.5.Rd_%03d_medium.png", width=480, height=480)
> ### Name: E7.5
> ### Title: Data on Static Weights and Weight in Motion of Trucks
> ### Aliases: E7.5
> ### Keywords: datasets
>
> ### ** Examples
>
> data(E7.5)
> summary(E7.5)
sw.1 wim.1 sw.23 wim.23
Min. : 8660 Min. : 5616 Min. :11920 Min. :13104
1st Qu.: 8860 1st Qu.: 6240 1st Qu.:18295 1st Qu.:19448
Median : 9740 Median : 6864 Median :26880 Median :29952
Mean : 9936 Mean : 7208 Mean :24425 Mean :27072
3rd Qu.:10710 3rd Qu.: 8112 3rd Qu.:30890 3rd Qu.:33904
Max. :12740 Max. :10192 Max. :33560 Max. :42016
sw.45 wim.45
Min. : 8520 Min. : 9984
1st Qu.:15830 1st Qu.:16640
Median :23110 Median :20384
Mean :22653 Mean :22588
3rd Qu.:31225 3rd Qu.:29952
Max. :34100 Max. :37024
> plot(E7.5)
>
>
>
>
>
> dev.off()
null device
1
>