deprecated.functions {RCPA3}

Deprecated functions (and how to still use them)

Description

A number of functions we used in our R Companion to Political Analysis, 2nd Edition are not used in R Companion to Political Analysis, 3rd Edition. These deprecated functions have been superseded by new and improved functions in the 3rd Edition. This page lists the deprecated functions and provides reference information for anyone used to using these functions.

• AdjR2 calculated adjusted R-Squared statistic. This function was called after estimating a (weighted) model that did not report adjusted R-Squared statistic. Adjusted R-Square is now calculated automatically by the regC and logregC functions.

• CI95 calculated the 95 percent confidence interval of a sample statistic (returning the upper and lower boundaries). The CIprop and CImean functions generate confidence intervals for sample proportions and sample means (default confidence level=95). To find confidence interval of difference of sample proportions, use testpropsC. To find confidence interval of difference of sample means, use testmeansC.

• CI99 calculated the 99 percent confidence interval of a sample statistic (returning the upper and lower boundaries). The CIprop and CImean functions generate confidence intervals for sample proportions and sample means (use argument level=99). To find confidence interval of difference of sample proportions, use testpropsC with argument ci.level=99. To find confidence interval of difference of sample means, use testmeansC with argument ci.level=99.

• colPercents calculated column percentages tables for multi-dimensional controlled cross-tabulations, based on function by John Fox. Was used by the xtabC function. Column percentages are calculated automatically by the crosstabC function.

• compADPQ calculated a statistic for measure of association in cross-tabulation. This function was called by tablesomersDC function (also deprecated). The Somers' d measure of association is calculated by crosstabC function with somers=T argument.

• compmeans was used for mean comparison analysis. The compmeans function was imported from descr package, See compmeans documentation for details. For mean comparison analysis, we now feature compmeansC which extends the functionality of compmeans to controlled comparisons, graphings, and analysis of variance.

• crosstab function was imported from the descr package. See crosstab documentation for details.

• csv.get was used to import files in comma separated value (csv) format. This function was imported from the Hmisc package. See csv.get documentation for details.

• cut2 was used to recode numeric variables into ordered factors. This function was imported from the Hmisc package. See cut2 documentation for details.

• describe was used to generate descriptive statistics. This function is imported from the Hmisc package. See describe documentation for details.

• ddply was used to generate summary statistics prior to graphing. The function was imported from the plyr package. See plyr package's ddply function documentation for details.

• freq was used for frequency distribution analysis. This function is imported from the descr package. See freq documentation for details.

• imeansC produced a controlled mean comparison table. Rows defined by values of independent variable and columns defines by values of the control variable.

• iplotC generated an interaction plot used brkdn.plot function from plotrix package and svyby function from survey package. Warnings suppressed so the function creates plot without generating intermediate results used to create plot.

• plotmeans was used to plot mean values to visualize mean comparisons. This function was imported from the gplots package. See gplots package's plotmeans function documentation for details.

• plotmeansC plotted the mean values of a dependent variable at different values of nominal or ordinal independent variable. Made use of survey package and gplot package's plotmeans function.

• prop.testC was used to test differences of proportions. Deprecated function to test difference of proportions.

• SetTextContrastColor determined whether black or white better contrasted with a given color. Used by the Colors function.

• somersD calculated the Somers' D measure of association statistic. This function made use of the svytable function from the survey package.

• spss.get was used to import datasets in SPSS format. The spss.get function is imported from the Hmisc package. See spss.get documentation for details.

• stata.get was used to import Stata-format datasets. The stata.get function is imported from the Hmisc package. See stata.get documentation for details.

• svyboxplot was used to make a box plot with option for weighted observations. The svyboxplot function is imported from the survey package. See svyhist documentation for details.

• svychisq conducted a Chi-Square test with weighted observations. This function reports chi-squared test statistic based on weighted dataset

• svychisq was used to implement a Chi-Square test with weighted observations. The svychisq function is imported from the survey package. See svychisq documentation for details.

• svyglm was used to estimate logistic regression model with weighted observations. The svyglm function is imported from the survey package. See svyglm documentation for details.

• svymean was used to calculate sample mean for weighted observations. The svymean function is imported from the survey package. See surveysummary documentation for details.

• svytable was used to generate cross-tabulations with weighted observations. The svytable function is imported from the survey package. See survey package documentation for details.

• wtd.boxplot generated a box plot with option for weighted observations. Deprecated function to generate box plot

• wtd.chi.sq was used for a Chi-Square test with weighted observations. The wtd.chi.sq function is imported from the weights package. See wtd.chi.sq documentation for details.

• wtd.t.test was used to conduct t-tests on sample means with weighted observations. This function is imported from the weights package. See wtd.t.test documentation for details.

• wtd.ttestC was used to test difference of means using t-test. Deprecated function to test difference of means.

• xtabC did controlled cross tabulation analysis with optional weights.

• xtp generated cross-tabulation of two categorical variables and produced a mosaic plot. Made use of the crosstab function in the descr package.

• xtp.chi2 did cross tabulation analysis with Chi-Square test. This function made use of the crosstab function from the descr package

Usage

AdjR2()

CI95()

CI99()

colPercents()

compADPQ()

compmeans()

crosstab()

csv.get()

cut2()

describe()

ddply()

freq()

imeansC()

iplotC()

plotmeans()

plotmeansC()

prop.testC()

SetTextContrastColor()

somersD()

spss.get()

stata.get()

svyboxplot()

svychisqC()

svychisq()

svyglm()

svymean()

svytable()

wtd.boxplot()

wtd.chi.sq()

wtd.t.test()

wtd.ttestC()

xtabC()

xtp()

xtp.chi2()

Value

Returned a list of statistics