# Support for Statistics Classes at Northland College

## Help Pages

 NCStats-package Support for statistics classes at Northland College. ABCens90 Data on Ashland and Bayfield County (WI) residents in 1990. ABDLakes Data for lakes in Ashland, Bayfield, and Douglas counties, Wisconsin. accuracyPrecision Plot targets and histograms for illustrating accuracy and precision. addMargins Puts Arbitrary Margins on Two-way Tables or Arrays addSigLetters Places significance letters next to mean points on a fitPlot. adTest Anderson-Darling test for normality chisqPostHoc Tests for significant differences among all pairs of populations in a chi-square test. ci.t Constructs confidence intervals assuming normal distribution. ciSim A dynamic graph to illustrate the concept of confidence intervals for a mean. cltSim A dynamic graph to illustrate the Central Limit Theorem. corr Compute correlation coefficients. corr.default Compute correlation coefficients. corr.formula Compute correlation coefficients. corrSim Dynamic simulations to demonstrate how the correlation is computed. distrib Plots calculated areas or values from a wide variety of continuous and discrete distribution functions. expandTable Converts results in a contingency table into the original raw data. Frogs Numbers of frogs on lakes as determined by call and visual methods. glhtSig Extracts names for significantly different comparisons. glhtSig.glht Extracts names for significantly different comparisons. gofCI Pseudo- confidence intervals for multinomial levels. highlight Labels a list of points on a two-dimensional plot. highlight.default Labels a list of points on a two-dimensional plot. highlight.formula Labels a list of points on a two-dimensional plot. identify.formula Identify points in a plot using a formula. iqrCalc Shows the steps in the manual calculation of the median and IQR. kANOVA Specific utilities for use in a knitr document. kGLHT Specific utilities for use in a knitr document. kHtest Specific utilities for use in a knitr document. kREG Specific utilities for use in a knitr document. levenesTest Perform Levene's test for homogeneity of variances meanMedian Dynamic simulations to demonstrate how the mean and median are computed. mrnorm Multiple Simulations from Normal Distributions NCStats Support for statistics classes at Northland College. outlierTest Performs a test for outliers percTable Express table entries as percentage of marginal table. plot.htest Plots test statistic and p-value area for z-, t-, and chi-square tests. powerSim Dynamic simulation of power calculation in 1-sample mean problems. predictionPlot Shows the predicted value and interval on a fitted line plot. predictPlot Shows the predicted value and interval on a fitted line plot. print.confint.glht Modificaton of print.summary.glht() and print.confint.glth() to streamline output. print.htest Modificaton of print.htest() to streamline output. print.iqrCalc Shows the steps in the manual calculation of the median and IQR. print.lm Modificaton of print.lm() to streamline output print.sdCalc Shows the steps in the manual calculation of the standard deviation. print.summary.glht Modificaton of print.summary.glht() and print.confint.glth() to streamline output. print.summary.glm Modificaton of print.summary.lm() to streamline output print.summary.lm Modificaton of print.summary.lm() to streamline output rSquared Extract the coefficient of determination from a linear model object. sbeta Demonstrates the shape of the PDF and CDF for the given distribution. sbinom Demonstrates the shape of the PDF and CDF for the given distribution. schisq Demonstrates the shape of the PDF and CDF for the given distribution. sdCalc Shows the steps in the manual calculation of the standard deviation. sexp Demonstrates the shape of the PDF and CDF for the given distribution. sf Demonstrates the shape of the PDF and CDF for the given distribution. sgamma Demonstrates the shape of the PDF and CDF for the given distribution. sgeom Demonstrates the shape of the PDF and CDF for the given distribution. shyper Demonstrates the shape of the PDF and CDF for the given distribution. slnorm Demonstrates the shape of the PDF and CDF for the given distribution. snbinom Demonstrates the shape of the PDF and CDF for the given distribution. snorm Demonstrates the shape of the PDF and CDF for the given distribution. spois Demonstrates the shape of the PDF and CDF for the given distribution. SquareLakePopn Biological characteristics of the "Square Lake" population. srsdf Extract a simple random sample from a data.frame. st Demonstrates the shape of the PDF and CDF for the given distribution. transChooser A dynamic graphic used to select transformations for simple linear models. view Shows a random selection of rows from a data frame or matrix. z.test Z test for known population standard deviation