Functions to support statistics classes at Northland College.

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Documentation for package ‘NCStats’ version 0.3.4

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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.
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 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.
discharge Conmputes stream discharge measurements using the mean-section or mid-section methods.
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
limnoProfilePlot Constructs a plot of depth versus limnological measure.
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.discharge Conmputes stream discharge measurements using the mean-section or mid-section methods.
plot.htest Plots test statistic and p-value area for z-, t-, and chi-square tests.
plot.wetPerim Computes the wetted perimeter of a stream from depth and distance measurements.
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.
summary.discharge Conmputes stream discharge measurements using the mean-section or mid-section methods.
summary.wetPerim Computes the wetted perimeter of a stream from depth and distance measurements.
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.
wetPerim Computes the wetted perimeter of a stream from depth and distance measurements.
z.test Z test for known population standard deviation