basicspace (version 0.25)

LC1980_bbt: 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[[2]] 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[[2]] 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

Keith Poole

Howard Rosenthal

Jeffrey Lewis

James Lo

Royce Carroll

Christopher Hare

References

David A. Armstrong II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, and Howard Rosenthal. 2021. Analyzing Spatial Models of Choice and Judgment. 2nd ed. Statistics in the Social and Behavioral Sciences Series. Boca Raton, FL: Chapman & Hall/CRC. doi: 10.1201/9781315197609

Keith T. Poole, Jeffrey B. Lewis, Howard Rosenthal, James Lo, and Royce Carroll. 2016. ``Recovering a Basic Space from Issue Scales in R.'' Journal of Statistical Software 69(7): 1-21. doi:10.18637/jss.v069.i07

Keith T. Poole. 1998. ``Recovering a Basic Space From a Set of Issue Scales.'' American Journal of Political Science 42(3): 954-993. doi: 10.2307/2991737

See Also

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

Examples

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

  # \donttest{ 
  LC1980_bbt <- blackbox_transpose(LCdat, missing=c(0,8,9), dims=3, 
    minscale=5, verbose=TRUE)
  # }
  ### 'LC1980_bbt' can be retrieved quickly with: 
  data(LC1980_bbt)

  summary(LC1980_bbt)
  plot(LC1980_bbt)