CAFE

<p>Senate votes for Corporate Average Fuel Economy (CAFE) bill</p>

datasets

Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition).
The package also includes data for the first edition, Stat2: Building Models for a World of Data
and a few functions for plotting diagnostics.

Robin Lock

Stat2Data

Datasets for Stat2

CAFE function

<p>A data frame with 100 observations on the following 7 variables.</p><table><tr><td>
    <code>Senator</code> </td>
<td> Senator's name</td>
</tr><tr><td>
    <code>State</code> </td>
<td> Code for senator's state</td>
</tr><tr><td>
    <code>Party</code> </td>
<td> party affiliation: <code>D</code>=Democrat, <code>I</code>=Independent, <code>R</code>=Republican</td>
</tr><tr><td>
    <code>Contribution</code> </td>
<td> Contributions from car manufactures (dollars)</td>
</tr><tr><td>
    <code>LogContr</code> </td>
<td> Log of (Contribution+1)</td>
</tr><tr><td>
    <code>Dem</code> </td>
<td> <code>1</code>=Democrat/Independent <code>0</code>=Republican</td>
</tr><tr><td>
    <code>Vote</code> </td>
<td> <code>1</code>=yes  or <code>0</code>=no</td>
</tr></table>

`Senator`	Senator's name
`State`	Code for senator's state
`Party`	party affiliation: `D`=Democrat, `I`=Independent, `R`=Republican
`Contribution`	Contributions from car manufactures (dollars)
`LogContr`	Log of (Contribution+1)
`Dem`	`1`=Democrat/Independent `0`=Republican
`Vote`	`1`=yes or `0`=no

CAFE: US Senate Votes on Corporate Average Fuel Economy Bill

Description

Arguments

Format

Details