This function is a front end to the stepAIC function in the MASS package.
● Data Source:
CranContrib
● Keywords: models
● Alias: stepwise
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This function uses the rcorr function in the Hmisc package to compute matrices of Pearson or Spearman correlations along with the pairwise p-values among the correlations. The p-values are corrected for multiple inference using Holm's method (see p.adjust ). Observations are filtered for missing data, and only complete observations are used.
● Data Source:
CranContrib
● Keywords: htest
● Alias: print.rcorr.adjust, rcorr.adjust
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bin.var
(Package: RcmdrMisc) :
Bin a Numeric Varisible
Create a factor dissecting the range of a numeric variable into bins of equal width, (roughly) equal frequency, or at "natural" cut points. The cut function is used to create the factor.
● Data Source:
CranContrib
● Keywords: manip
● Alias: bin.var
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KMeans
(Package: RcmdrMisc) :
K-Means Clustering Using Multiple Random Seeds
Finds a number of k-means clusting solutions using R's kmeans function, and selects as the final solution the one that has the minimum total within-cluster sum of squared distances.
● Data Source:
CranContrib
● Keywords: misc
● Alias: KMeans
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This function plots a probability density, mass, or distribution function, adapting the form of the plot as appropriate.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plotDistr
●
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Create bar plots for one or two factors scaled by frequency or precentages. In the case of two factors, the bars can be divided (stacked) or plotted in parallel (side-by-side). This function is a front end to barplot in the graphics package.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: Barplot
●
3 images
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summarySandwich
(Package: RcmdrMisc) :
Linear Model Summary with Sandwich Standard Errors
summarySandwich creates a summary of a "lm" object similar to the standard one, with sandwich estimates of the coefficient standard errors in the place of the usual OLS standard errors, also modifying as a consequence the reported t-tests and p-values for the coefficients. Standard errors may be computed from a heteroscedasticity-consistent ("HC") covariance matrix for the coefficients (of several varieties), or from a heteroscedasticity-and-autocorrelation-consistent ("HAC") covariance matrix.
● Data Source:
CranContrib
● Keywords: misc
● Alias: summarySandwich, summarySandwich.lm
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readXL reads an Excel file, either of type .xls or .xlsx into an R data frame; it provides a front end to the read_excel function in the readxl package. excel_sheets is re-exported from the readxl package and reports the names of spreadsheets in an Excel file.
● Data Source:
CranContrib
● Keywords: manip
● Alias: excel_sheets, readXL
●
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colPercents
(Package: RcmdrMisc) :
Row, Column, and Total Percentage Tables
Percentage a matrix or higher-dimensional array of frequency counts by rows, columns, or total frequency.
● Data Source:
CranContrib
● Keywords: misc
● Alias: colPercents, rowPercents, totPercents
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Dot plot of numeric variable, either using raw values or binned, optionally classified by a factor. Dot plots are useful for visualizing the distrbution of a numeric variable in a small data set.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: Dotplot
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4 images
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