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| 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. |
| 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 dynamics graphic to illustrate the concept of confidence intervals for a mean. |
| cltSim | A dynamic graphic to illustrate the Central Limit Theorem. |
| compIntercepts | Tests for significant differences among all pairs of intercepts in an IVR. |
| compSlopes | Tests for significant differences among all pairs of slopes in an IVR. |
| diagPlot | Constructs plots of diagnostic measures for linear models. |
| 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. |
| faqNC | FAQ for using R at Northland College. |
| Frogs | Numbers of frogs on lakes as determined by call and visual methods. |
| geomean | Calculates the geometric mean or geometric standard deviation. |
| geosd | Calculates the geometric mean or geometric standard deviation. |
| 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. |
| 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. |
| 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.anova | Modificaton of print.anova() to streamline output |
| print.compIntercepts | Tests for significant differences among all pairs of intercepts in an IVR. |
| print.compSlopes | Tests for significant differences among all pairs of slopes in an IVR. |
| 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.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. |
| sumTable | Creates a one- or two-way table of summary statistics. |
| sumTable.formula | Creates a one- or two-way table of summary statistics. |
| transChooser | A dynamic graphic used to select transformations for simple linear models. |
| z.test | Z test for known population standard deviation |