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asbio (version 0.2-1)
A collection of statistical tools for biologists
Description
Contains functions from the book: "Applied Statistics for Biologists"
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Install
install.packages('asbio')
Monthly Downloads
3,042
Version
0.2-1
License
GPL (>= 2)
Maintainer
Ken Aho
Last Published
March 19th, 2010
Functions in asbio (0.2-1)
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D.sq
Mahalanobis distance for two sites using a pooled covariance matrix
MS.test
Mack-Skillings test
alpha.div
Functions for calculating alpha diversity.
asthma
Asthma repeated measures dataset from Littell et al. (2002)
G.mean
Geometric mean
Hotelling
Hotelling T-squared test
exercise.repeated
Repeated measures data for an exercise experiment.
Preston.dist
Preston diversity analysis
samp.dist
Representation of a statistic's sampling distribution
bootstrap
A simple function for bootstrapping
Pairw.test
Conducts pairwise post hoc tests associated with an ANOVA.
km
Kaplan-Meier survivorship.
get.dist
Calculates 26 possible resemblance measures.
one.sample.z
One sample z-test
cliff.env
Environmental data for the community dataset cliff.sp
Shep.comp
Shepard plot type comparisons for PCoA
partial.resid.plot
Partial residual plots for interpretation of multiple regression.
pseudo.v
Jacknife pseudo-values
radiation.heatl
Radiation-heatload algorithm
panel.cor.res
functions for customizing correlation matrices
modlevenes.test
Modified Levene's test
power.z.test
Power analysis for a one sample z-test
HL.mean
Hodges-Lehman estimator of location
stan.error
Variance and standard error estimators for the sampling distribution of the sample mean
runSampDesign
Plots of random sampling designs
H.mean
Harmonic mean
world.co2
World CO2 levels, by country, from 1980 to 2006
beta.div
Beta diversity functions
world.pop
Population levels in various countries since 1980
trim.me
Trim data
rat
Rat glycogen data from Sokal and Rohlf (1995).
rankindex.new
Compares the efficacy of resemblance measures for a particular data scenario.
starkey
DEM data from the Starkey experimental forest in NE Oregon.
ci.mu.z
Z and t confidence intervals for mu.
shade.norm
Shading functions for interpretation of pdf probabilities.
alfalfa.split.plot
An agricultural split plot design
bv.boxplot
Bivariate boxplots
win
Winsorize data
runExpDesign
Simple experimental design plots
chi.plot
Chi plots for diagnosing multivariate independence.
MC.test
Monte Carlo hypothesis testing for two samples.
e.cancer
Esophageal cancer data modified slightly to create a balanced three-way factorial design
huber.NR
Huber M-estimator iterative least squares algorithm
Mrpp
Multi-response permutation procedure. A wrapper for mrpp from vegan.
Venn
Venn probability diagrams for an event with two outcomes
ls.plot
Plot of least squares function.
partial.R2
Partial correlations of determination in multiple regression
loess.surf
loess 2D and 3D smooth plots
cliff.sp
Yellowstone NP cliff community data
tukey.add.test
Tukey's test of additivity.
DH.test
Doornick-Hansen test for multivariate normality.
KW.multi.comp
Multiple pairwise comparison procedure to accompany a Kruskal-Wallis test
boot.ci.M
Bootstrap CI of M-estimators differences of two samples
island.rich
Mammal richness data with respect to montane island area.
FR.multi.comp
Multiple pairwise comparison procedure to accompany a Friedman test.
Semiconductor
Split plot computer chip data from Littell et al. (2006).
AP.test
Agresti-Pendergrast test
BDM.test
Brunner-Dette-Munk test
plantTraits
Plant traits for 136 species
evenness
Pielou's measure of species evenness
plotCI.reg
Plots a simple linear regression along with confidence and prediction intervals.
R.pb
Percentage bend correlation
ES.May
May's effective specialization index
huber.one.step
Huber one step M-estimator
ConDis.matrix
Calculation and display of concordant and discordant pairs
fidelity
Fidelity of species in a community to a particular group
R.bw
Biweight midvariance, and biweight midcorrelation.
joint.confint
Calculates joint confidence intervals for parameters in linear models using a Bonferroni procedure.
ci.strat
Confidence intervals for stratified random samples.
ci.median
Confidence interval for the median
ci.p
Confidence interval estimation for the binomial parameter p.
bplot
Barplots with standard errors and CIs for pairwise comparisons.
Mode
Sample mode
sortid
Sorts releve table rows using a dot product approach.
deer.296
Mule deer telemetry data
press
prediction sum of squares
huber.mu
Huber M-estimator of location
skew
Sample skewness and kurtosis
perm.fact.test
Permutation test for two and three way factorial designs.
wheat
Agricultural randomized block design
so2.us.cities
SO2 data for 32 US cities with respect to 6 explanatory variables
trim.ranef.test
Robust test for random factors using trimmed means.
ci.sigma
Confidence interval for the sample variance.
evaluators
Cluster analysis evaluators.
V.mat
Pooled covariance matrices for multivariate procedures.
const
Constancy of species in a community dataset
ci.mu.oneside
One sided confidence intervlas for mu.
Kappa
Calculates kappa statistic and other classification error statistics
prp
Perpindicularity
trim.test
Robust one way trimmed means test.
transM
Transition matrix analysis
veg.table
Summarized constancy/cover vegetation tables (not vegetables)
Glucose2
Glucose Levels Following Alcohol Ingestion
Kullback
Kullback test for equal covariance matrices.
loglik.norm.plot
Plots of log-likelihood functions
polar.ord
Polar ordinations