basicspace (version 0.13)

boot_aldmck: Bootstrap of Aldrich-McKelvey Scaling

Description

boot_aldmck is a function automates the non-parametric bootstrapping of aldmck. The original function takes a matrix of perceptual data, such as liberal-conservative rankings of various stimuli, and recovers the true location of those stimuli in a spatial model. The bootstrap simply applies this estimator across multiple resampled data sets and stores the results of each iteration in a matrix. These results can be used to estimate uncertainty for various parameters of interest, and can be plotted using the plot.boot_aldmck function.

Usage

boot_aldmck(data, respondent = 0, missing=NULL, polarity, iter=100)

Arguments

data

matrix of numeric values, containing the perceptual data. Respondents should be organized on rows, and stimuli on columns. It is helpful, though not necessary, to include row names and column names.

respondent

integer, specifies the column in the data matrix of the stimuli that contains the respondent's self-placement on the scale. Setting respondent = 0 specifies that the self-placement data is not available. Self-placement data is not required to estim

missing

vector or matrix of numeric values, sets the missing values for the data. NA values are always treated as missing regardless of what is set here. Observations with missing data are discarded before analysis. If input is a vector, then the ve

polarity

integer, specifies the column in the data matrix of the stimuli that is to be set on the left side (generally this means a liberal)

iter

integer, is the number of iterations the bootstrap should run for.

Value

• An object of class boot_aldmck. This is simply a matrix of dimensions iter x number of stimuli. Each row stores the estimated stimuli locations for each iteration.

References

John H. Aldrich and Richard D. McKelvey (1977) ``A Method of Scaling with Applications to the 1968 and 1972 Presidential Elections.'' American Political Science Review. 71(1), 111-130. Thomas R. Palfrey and Keith T. Poole (1987) ``The Relationship between Information, Ideology, and Voting Behavior.'' American Journal of Political Science. 31(3), 511-530. Keith Poole. http://voteview.ucsd.edu/aldmck.htm

See Also

'LC1980', 'summary.aldmck', 'plot.aldmck', 'plot.cdf'.

Examples

data(LC1980)
result <- boot_aldmck(data=LC1980, polarity=2, respondent=1, missing=c(0,8,9), iter=100)
plot(result)