ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Version 1.0

A book designed to meet the requirements of masters students. Tattar, P.N., Suresh, R., and Manjunath, B.G. "A Course in Statistics with R", J. Wiley, ISBN 978-1-119-15272-9.

AuthorPrabhanjan Tattar
Date of publication2015-09-05 17:50:53
MaintainerPrabhanjan Tattar <prabhanjannt@gmail.com>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ACSWR")

Getting started

Package overview

Popular man pages

cloud: The Cloud Seeding Data
hw: Height-Weight Covariance Study
life: Life Expectancies
MPPoisson: Most Powerful Test for Poisson Distribution
swiss: Forged Swiss Bank Notes
UMPExponential: Uniformly Most Powerful Test for Exponential Distribution
UMPNormal: Uniformly Most Powerful Test for Normal Distribution
See all...

All man pages Function index File listing

Man pages

abrasion_index: Abrasion Index for the Tire Tread
ACSWR-package: An R Companion Package for the Book "A Course in Statistics...
adjectives: A Dataset for Factor Analysis
atombomb: Japanese atomic bomb survivors
battery: Two Factorial Experiment for Battery Data
Binom_Sim: Simulation for Binomial Distribution
bottling: A Three Factorial Experiment for Bottling Data
bs: Simulated Sample from Binomial Distribution
bs1: British Doctors Smoking and Coronary Heart Disease
caesareans: The Cesarean Cases
calcium: The Calcium in Soil
cardata: Car Data
chdage: Coronary Heart Disease
chemicaldata: Chemical Reaction Experiment
chest: The Militiamen's Chest Dataset
cloud: The Cloud Seeding Data
cork: The Cork Dataset
cs: Random Samples from Cauchy Distribution
depression: The Hamilton Depression Scale Factor
Disease: Disease Outbreak Study
Ehrenfest: Generate transition probability matrix of Ehrenfest model
flight: Injuries in Airflights
Geom_Sim: Simulation for Geometric Distribution
girder: Strength Data Set of a Girder Experiment
hardness: Hardness and a Block Experiment
hearing: Hearing Loss Data
hw: Height-Weight Covariance Study
insurance: Insurance Claims Data
intensity: Blocking for Intensity Data Set
kurtcoeff: Coefficient of Kurtosis
life: Life Expectancies
lowbwt: The Low-Birth Weight Problem
LRNormal2Mean: Likelihood Ratio Test for Equality of Means when Variance...
LRNormalMean_KV: Likelihood ratio test for equality of mean when the variance...
LRNormalMean_UV: Likelihood ratio test for mean when variance is unknown
LRNormalVariance_UM: Likelihood ratio test for the variance of normal distribution...
lval: Letter Values
memory: Memory Recall Times
mfp: Psychological Tests for Males and Females
MPbinomial: Most Powerful Binomial Test
MPNormal: Most Powerful Test for Normal Distribution
MPPoisson: Most Powerful Test for Poisson Distribution
msteptpm: m-step Transition Probability Matrix Computation
Mucociliary: Mucociliary Clearance
nerve: The Nerve Data
ns: Simulated Sample from Normal Distribution
olson: The Olson Heart Lung Dataset
pareto_density: Pareto density
pareto_quantile: Quantile of Pareto RV
Poisson_Sim: Simulation for Poisson Distribution
powertestplot: A Function to Plot the Power of a UMP Test for Normal...
ps: Simulated Sample from Poisson Distribution
pw: The Linguistic Probe Word Analysis
QH_CI: Quesenberry-Hurst Simultaneous Confidence Interval
reaction: Chemical Reaction Experiment
resistant_line: Resistant Line EDA Regression Technique
rocket: Rocket Propellant
rocket_Graeco: Rocket Propellant Example Extended
rootstock: Apple of Different Rootstock
sample: Simulated Dataset
sheishu: The Seishu Wine Study
shelf_stock: The Shelf-Stocking Data
siegel.tukey: Siegel-Tukey Nonparametric Test
skewcoeff: A simple and straightforward function to compute the...
somesamples: Scatter Plots for Understanding Correlations
SP: Understanding Strength of Paper with a Three Factorial...
stationdistTPM: A function which will return the stationary distribution of...
stiff: The Board Stiffness Dataset
ST_Ordered: Simulating Random Observations from an Arbitrary Distribution
ST_Unordered: Simulating Random Observations from an Arbitrary Distribution...
swiss: Forged Swiss Bank Notes
tc: The Toluca Company Labour Hours against Lot Size
tensile: The Tensile Strength Experiment
testtpm: A transition probability matrix
testtpm2: A matrix of transition probability matrix, second example
testtpm3: A matrix of transition probability matrix, third example
TM: Trimmed Mean
TMH: Trimean based on hinges instead of quartiles
UMPExponential: Uniformly Most Powerful Test for Exponential Distribution
UMPNormal: Uniformly Most Powerful Test for Normal Distribution
UMPUniform: Uniformly Most Powerful Test for Uniform Sample
usc: US Crime Data
viscos: The Box-Cox Transformation for Viscosity Dataset
vonNeumann: von Neumann Random Number Generator
waterquality: Testing for Physico-chemical Properties of Water in 4 Cities
WilsonCI: Wilson Confidence Interval
ww.test: Wald-Wolfowitz Nonparametric Test
x_bimodal: Understanding kernel smoothing through a simulated dataset
yb: Youden and Beale's Data on Lesions of Half-Leaves of Tobacco...

Functions

ACSWR Man page
ACSWR-package Man page
Binom_Sim Man page Source code
Disease Man page
Ehrenfest Man page Source code
Geom_Sim Man page Source code
LRNormal2Mean Man page Source code
LRNormalMean_KV Man page Source code
LRNormalMean_UV Man page Source code
LRNormalVariance_UM Man page Source code
MPNormal Man page Source code
MPPoisson Man page Source code
MPbinomial Man page Source code
Mucociliary Man page
Poisson_Sim Man page Source code
QH_CI Man page Source code
SP Man page
ST_Ordered Man page Source code
ST_Unordered Man page Source code
TM Man page Source code
TMH Man page Source code
UMPExponential Man page Source code
UMPNormal Man page Source code
UMPUniform Man page Source code
WilsonCI Man page Source code
abrasion_index Man page
adjectives Man page
atombomb Man page
battery Man page
bottling Man page
bs Man page
bs1 Man page
caesareans Man page
calcium Man page
cardata Man page
chdage Man page
chemicaldata Man page
chest Man page
cloud Man page
cork Man page
cs Man page
depression Man page
flight Man page
girder Man page
hardness Man page
hearing Man page
hw Man page
insurance Man page
intensity Man page
kurtcoeff Man page Source code
life Man page
lowbwt Man page
lval Man page Source code
memory Man page
mfp Man page
msteptpm Man page Source code
nerve Man page
ns Man page
olson Man page
pareto_density Man page Source code
pareto_quantile Man page Source code
powertestplot Man page Source code
ps Man page
pw Man page
reaction Man page
resistant_line Man page Source code
rocket Man page
rocket_Graeco Man page
rootstock Man page
sample Man page
sheishu Man page
shelf_stock Man page
siegel.tukey Man page Source code
skewcoeff Man page Source code
somesamples Man page
stationdistTPM Man page Source code
stiff Man page
swiss Man page
tc Man page
tensile Man page
testtpm Man page
testtpm2 Man page
testtpm3 Man page
usc Man page
viscos Man page
vonNeumann Man page Source code
waterquality Man page
ww.test Man page Source code
x_bimodal Man page
yb Man page

Files

NAMESPACE
data
data/hw.rda
data/cloud.rda
data/flight.rda
data/waterquality.rda
data/tensile.rda
data/bottling.rda
data/testtpm.rda
data/sample.rda
data/somesamples.rda
data/nerve.rda
data/chdage.rda
data/usc.rda
data/shelf_stock.rda
data/cork.rda
data/ps.rda
data/chemicaldata.rda
data/testtpm3.rda
data/atombomb.rda
data/SP.rda
data/life.rda
data/abrasion_index.rda
data/stiff.rda
data/rootstock.rda
data/insurance.rda
data/Mucociliary.rda
data/hardness.rda
data/intensity.rda
data/ns.rda
data/mfp.rda
data/lowbwt.rda
data/memory.rda
data/testtpm2.rda
data/viscos.rda
data/battery.rda
data/calcium.rda
data/adjectives.rda
data/bs.rda
data/cs.rda
data/tc.rda
data/caesareans.rda
data/rocket_Graeco.rda
data/bs1.rda
data/Disease.rda
data/rocket.rda
data/yb.rda
data/olson.rda
data/chest.rda
data/hearing.rda
data/pw.rda
data/x_bimodal.rda
data/depression.rda
data/sheishu.rda
data/cardata.rda
data/girder.rda
data/swiss.rda
data/reaction.rda
R
R/MPNormal.R
R/Binom_Sim.R
R/WilsonCI.R
R/Geom_Sim.R
R/UMPNormal.R
R/vonNeumann.R
R/LRNormalVariance_UM.R
R/ST_Unordered.R
R/powertestplot.R
R/MPPoisson.R
R/UMPUniform.R
R/resistant_line.R
R/ww.test.R
R/lval.R
R/Poisson_Sim.R
R/msteptpm.R
R/LRNormalMean_UV.R
R/pareto_density.R
R/stationdistTPM.R
R/LRNormalMean_KV.R
R/MPbinomial.R
R/kurtcoeff.R
R/LRNormal2Mean.R
R/UMPExponential.R
R/TM.R
R/siegel.tukey.R
R/Ehrenfest.R
R/pareto_quantile.R
R/ST_Ordered.R
R/QH_CI.R
R/skewcoeff.R
R/TMH.R
MD5
DESCRIPTION
man
man/cs.Rd
man/shelf_stock.Rd
man/bs.Rd
man/olson.Rd
man/SP.Rd
man/rocket.Rd
man/siegel.tukey.Rd
man/QH_CI.Rd
man/tensile.Rd
man/ACSWR-package.Rd
man/MPNormal.Rd
man/battery.Rd
man/Geom_Sim.Rd
man/bottling.Rd
man/pareto_quantile.Rd
man/UMPExponential.Rd
man/LRNormalMean_UV.Rd
man/reaction.Rd
man/MPPoisson.Rd
man/vonNeumann.Rd
man/UMPUniform.Rd
man/abrasion_index.Rd
man/life.Rd
man/caesareans.Rd
man/LRNormalMean_KV.Rd
man/ps.Rd
man/sheishu.Rd
man/Mucociliary.Rd
man/chemicaldata.Rd
man/msteptpm.Rd
man/adjectives.Rd
man/tc.Rd
man/kurtcoeff.Rd
man/x_bimodal.Rd
man/pw.Rd
man/cloud.Rd
man/girder.Rd
man/MPbinomial.Rd
man/LRNormalVariance_UM.Rd
man/memory.Rd
man/testtpm3.Rd
man/WilsonCI.Rd
man/ns.Rd
man/usc.Rd
man/chdage.Rd
man/flight.Rd
man/atombomb.Rd
man/waterquality.Rd
man/stiff.Rd
man/hw.Rd
man/TMH.Rd
man/TM.Rd
man/pareto_density.Rd
man/testtpm.Rd
man/depression.Rd
man/yb.Rd
man/mfp.Rd
man/nerve.Rd
man/hardness.Rd
man/rocket_Graeco.Rd
man/lval.Rd
man/rootstock.Rd
man/cork.Rd
man/ST_Unordered.Rd
man/ww.test.Rd
man/ST_Ordered.Rd
man/cardata.Rd
man/viscos.Rd
man/Disease.Rd
man/calcium.Rd
man/Binom_Sim.Rd
man/Ehrenfest.Rd
man/skewcoeff.Rd
man/stationdistTPM.Rd
man/insurance.Rd
man/LRNormal2Mean.Rd
man/hearing.Rd
man/Poisson_Sim.Rd
man/UMPNormal.Rd
man/testtpm2.Rd
man/somesamples.Rd
man/chest.Rd
man/swiss.Rd
man/sample.Rd
man/powertestplot.Rd
man/lowbwt.Rd
man/intensity.Rd
man/bs1.Rd
man/resistant_line.Rd
ACSWR documentation built on May 19, 2017, 6:57 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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