Functions to support statistics classes at Northland College.


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Documentation for package ‘NCStats’

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NCStats-package Functions to support statistics classes at Northland College.
AccuracyPrecision Plot targets and histograms for illustrating accuracy and precision.
add.sig.letters Places significance letters next to mean points on a fit.plot.
attached Lists currently attached data frames.
bin.ci Confidence intervals for binomial probability of success.
BOD BOD measurements at aquaculture farm.
choose.colors Allows user to create a list of colors from among a variety of color palettes.
ci.bc Construct a confidence interval from boot.case results.
ci.sim Simulations of confidence intervals for a mean.
ci.t Constructs confidence intervals assuming normal distribution.
clt.sim A dynamic graphic to illustrate the Central Limit Theorem.
comp.intercepts Tests for significant differences among all pairs of intercepts in an IVR.
comp.slopes Tests for significant differences among all pairs of slopes in an IVR.
Consumption Fish consumption data for many species of fish.
CrabClaw Craw claw characteristics.
detach.all Detaches all currently attached data frames.
diag.plot Constructs plots of diagnostic measures for linear models.
distrib Plots calculated areas or values from a wide variety of continuous and discrete distribution functions.
Ecoli Population growth of Escherchia coli.
expand.table Converts results in a contingency table into the original raw data.
extract.data Converts a file of X-Y pixel coordinates to X-Y measurements.
fit.plot Fitted model plot for an lm or nls object.
highlight Labels a list of points on a two-dimensional plot.
hist.formula Creates separate histograms by levels.
ho.bc Constructs a p-value for a bootstrapped hypothesis test.
ho.coef Performs a hypothesis test that a parameter in a linear model is equal to some specific value.
hyper.ci Confidence interval for population size (N) in hypergeometric distribution.
LakeTroutEggs Fecundity information for Lake Superior lake trout.
lgrep Pattern matching.
logreg.plot Fitted model plot for a logistic regression glm model.
meanVSmedian Simulations to demonstrate ‘how’ the mean and median are computed.
Mirex Mirex concentration, weight, capture year, and species of Lake Ontario salmon.
MooseBrowse Scots pines heights in three treatment groups.
mult.rnorm Multiple Simulations from Normal Distributions
NAKATPase Na-K-ATPase activity in rats.
NCStats Functions to support statistics classes at Northland College.
NCStatsSims Creates a menu to give access to all simulations in the NCStats package.
Opossums Immunoglobulin protein in Virginia opossums.
PeakDischarge Peak discharge measured with four different methods
plot.htest Plots test statistic and p-value area for z-, t-, and chi-square tests.
poi.ci Confidence interval for Poisson rate parameter.
power.sim Simulation of power calculation in 1-sample mean problems.
prediction.plot Shows the predicted value and interval on a fitted line plot.
print.CompInts 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.
residual.plot Residual plot for lm or nls objects.
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.
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.
st Demonstrates the shape of the PDF and CDF for the given distribution.
Summarize Summary statistics for a numeric or factor variable.
Tadpoles Body mass pf plains leopard frogs.
TomatoNematode Growth of tomato plants relative to nematode densities.
trans.chooser A dynamic graphic used to select a response transform for an ANOVA, SLR, or IVR models.
view Shows a random selection of rows from a data frame.