Package index • MESS

All functions
`MESS` `MESS-package`	Collection of miscellaneous useful and semi-useful functions
`QIC()`	Quasi Information Criterion
`adaptive.weights()`	Compute weights for use with adaptive lasso.
`add_torows()`	Fast addition of vector to each row of matrix
`age()`	Compute the age of a person from two dates.
`auc()`	Compute the area under the curve for two vectors.
`bdstat`	Danish live births and deaths
`bees`	Bee data. Number of different types of bees caught.
`bin()`	Fast binning of numeric vector into equidistant bins
`categorize()`	A table function to use with magrittr pipes
`clipit()`	Copy an object as R-code to the clipboard
`clotting`	Blood clotting for 158 rats
`cmd()`	Correlation matrix distance
`col.alpha()`	Add and set alpha channel for RGB color
`col.shade()`	Shade an RGB color
`col.tint()`	Tint an RGB color
`colCumSum()`	Apply cumsum to each column of matrix
`common.shared()`	Compute a common shared environment matrix
`conditional_rowMeans()`	Form row means conditional on number of non-missing
`cumsumbinning()`	Binning based on cumulative sum with reset above threshold
`dCor()`	Fast distance correlation matrix
`dCov()`	Fast distance covariance matrix
`drop1(<geeglm>)`	Drop All Possible Single Terms to a geeglm Model Using Wald or Score Test
`drop1(<geem>)`	Drop All Possible Single Terms to a geem Model Using Wald or Score Test
`earthquakes`	Earthquakes in 2015
`expand_table()`	Expand table or matrix to data frame
`extended.shared()`	Compute a common shared environment matrix
`fac2num()`	Convert factor to numeric vector
`feature.test()`	Inference for features identified by the Lasso
`filldown()`	Fill down NA with the last observed observation
`founder.shared()`	Compute a common shared environment matrix
`geekin()`	Fit a generalized estimating equation (GEE) model with fixed additive correlation structure
`gkgamma()`	Goodman-Kruskal's gamma statistic for a two-dimensional table
`greenland`	Average yearly summer air temperature for Tasiilaq, Greenland
`happiness`	Happiness score and tax rates for 148 countries
`ht()`	Show the head and tail of an object
`hwe_frequencies()`	Fast estimation of allele and genotype frequencies under Hardy-Weinberg equilibrium
`icecreamads`	Ice cream consumption and advertising
`ks_cumtest()`	Kolmogorov-Smirnov goodness of fit test for cumulative discrete data
`kwdata`	Non-parametric Kruskal Wallis data example
`lifeexpect`	Estimated life expectancy for Danish newborns
`loadRData()`	Load and extract object from RData file
`lower.tri.vector()`	Split Matrix by Clusters and Return Lower Triangular Parts as Vector
`matched`	Flu hospitalization
`maximum_subarray()`	Fast computation of maximum sum subarray
`mfastLmCpp()`	Fast marginal simple regresion analyses
`monte_carlo_chisq_test()`	Two-sided table test with fixed margins
`nh4`	Ammonia nitrogen found in river
`ordered.clusters()`	Check if unique elements of a vector appear in contiguous clusters
`pairwise.cor.test()`	Pairwise Tests for Association/Correlation Between Paired Samples
`pairwise_Schur_product()`	Compute Schur products (element-wise) of all pairwise combinations of columns in matrix
`pairwise_combination_indices()`	Compute all pairwise combinations of indices
`panel.hist()`	Panel plot of histogram and density curve
`panel.r2()`	Panel plot of R2 values for pairs
`picea`	Ozone concentration damage to picea spruce
`plr()`	Fast computation of several simple linear regressions
`power_binom_test()`	Power Calculations for Exact Test of a simple null hypothesis in a Bernoulli experiment
`power_mcnemar_test()`	Power Calculations for Exact and Asymptotic McNemar Test in a 2 by 2 table
`power_prop_test()`	Power Calculations for Two-Sample Test for Proportions with unequal sample size
`power_t_test()`	Power calculations for one and two sample t tests with unequal sample size
`prepost.test()`	Pretest-posttest RCT for quantitative observations with possible missing values
`qdiag()`	Fast extraction of matrix diagonal
`qpcr`	Gene expression from real-time quantitative PCR
`quadform()`	Fast quadratic form computation
`rainman`	Perception of points in a swarm
`repmat()`	Fast replication of a matrix
`residual_plot()`	Plots a standardized residual
`residualplot()`	Plots a standardized residual
`rmvt.pedigree()`	Simulate residual multivariate t-distributed data from a polygenic model
`rmvtnorm.pedigree()`	Simulate residual multivariate Gaussian data from a polygenic model
`rnorm_perfect()`	Simulate values from a perfect normal distribution
`rootonorm()`	Hanging rootogram for normal distribution
`round_percent()`	Round vector of number to percentages
`rud()`	Simulate randomized urn design
`scorefct()`	Internal functions for the MESS package
`screen_variables()`	Screen variable before penalized regression
`segregate.genes()`	Segregate genes through a pedigree
`sinv()`	Invert a symmetric positive-definite matrix
`smokehealth`	Effect of smoking on self reported health
`soccer`	Danish national soccer players
`superroot2`	Gene expression data from two-color dye-swap experiment
`tracemp()`	Fast computation of trace of matrix product
`usd()`	Unbiased standard deviation
`wallyplot()`	Plots a Wally plot
`write.xml()`	Write a data frame in XML format

Reference

All functions