LC1980_bbt {basicspace} R Documentation

## Blackbox Transpose Estimate, 1980 Liberal-Conservative Scales.

### Description

Blackbox-Transpose estimates from Liberal-Conservative 7-point scales from the 1980 National Election Study. Estimates in 3 dimensions.

### Usage

```data(LC1980_bbt)
```

### Value

An object of class `blackbt`.

 `stimuli` vector of data frames of length dims. Each data frame presents results for estimates from that dimension (i.e. x\$stimuli[] presents results for dimension 2). Each row contains data on a separate stimulus, and each data frame includes the following variables: `N`Number of respondents who ranked this stimulus. `coord1D`Location of the stimulus in the first dimension. If viewing the results for a higher dimension, higher dimension results will appear as coord2D, coord3D, etc. `R2`The percent variance explained for the stimulus. This increases as more dimensions are estimated. `individuals` vector of data frames of length dims. Each data frame presents results for estimates from that dimension (i.e. x\$stimuli[] presents results for dimension 2). Individuals that are discarded from analysis due to the minscale constraint are NA'd out. Each row contains data on a separate stimulus, and each data frame includes the following variables: `c`Estimate of the individual intercept. `w1`Estimate of the individual slope. If viewing the results for a higher dimension, higher dimension results will appear as w2, w3, etc. `R2`The percent variance explained for the respondent. This increases as more dimensions are estimated. `fits` A data frame of fit results, with elements listed as follows:
• `SSE`Sum of squared errors.

• `SSE.explained`Explained sum of squared error.

• `percent`Percentage of total variance explained.

• `SE`Standard error of the estimate, with formula provided in the article cited below.

• `singular`Singluar value for the dimension.

 `Nrow` Number of rows/stimuli. `Ncol` Number of columns used in estimation. This may differ from the data set due to columns discarded due to the minscale constraint. `Ndata` Total number of data entries. `Nmiss` Number of missing entries. `SS_mean` Sum of squares grand mean. `dims` Number of dimensions estimated.

### Author(s)

Keith Poole ktpoole@uga.edu

Howard Rosenthal hr31@nyu.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

### Source

American national Election Study. http://www.electionstudies.org/

'plotcdf.blackbt', 'LC1980', 'plot.blackbt', 'summary.blackbt', 'blackbox_transpose'.

### Examples

```
### Loads and scales the Liberal-Conservative scales from the 1980 NES.
data(LC1980)
LCdat=LC1980[,-1]	#Dump the column of self-placements