Function reference • mosaic

Plotting Plotting utilities. But see also the ggformula package.
`ashplot()` `prepanel.default.ashplot()` `panel.ashplot()`	Average Shifted Histograms
`bargraph()`	Create bar graphs from raw data
`design_plot()`	Interactively design plots
`dotPlot()` `panel.dotPlot()`	Dotplots
`freqpoly()` `hist2freqpolygon()` `plot(<freqpolygon>)`	Turn histograms into frequency polygons
`freqpolygon()` `prepanel.default.freqpolygon()` `panel.freqpolygon()`	Frequency Polygons
`googleMap()`	Display a point on earth on a Google Map
`ladd()`	Add to Lattice Plots
`leaflet_map()`	Simple Leaflet Maps
`mPlot()` `mMap()` `mScatter()` `mUniplot()`	Interactive plotting
`mUSMap()`	Make a US map with `ggplot2`
`mWorldMap()`	Make a world map with `ggplot2`
`makeColorscheme()`	Create a color generating function from a vector of colors
`makeMap()`	Make a map with `ggplot2`
`mplot()`	Generic plotting
`panel.levelcontourplot()`	Lattice plot that draws a filled contour plot
`panel.lmbands()`	show confidence and prediction bands on plots
`panel.plotFun()`	Panel function for plotting functions
`panel.plotFun1()`	Panel function for plotting functions
`plotCumfreq()` `prepanel.cumfreq()` `panel.cumfreq()`	Cumulative frequency plots
`plotDist()`	Plots of Discrete and Continuous Distributions
`plotFun()`	Plotting mathematical expressions
`plotModel()`	Plot a regression model
`plotPoints()`	Scatter plot of points
`sp2df()`	Transforms a shapefile into a dataframe
`theme_map()`	ggplot2 theme for maps
`theme.mosaic()` `col.mosaic()`	Lattice Theme
`xhistogramBreaks()` `prepanel.xhistogram()` `panel.xhistogram()`	Augmented histograms
`xqqmath()` `panel.xqqmath()`	Augmented version of `qqmath`
Numerical Summaries
`fav_stats()`	Some favorite statistical summaries
`MAD()` `SAD()`	All pairs mean and sum of absolute differences
`MAD_()` `SAD_()`	All pairs mean and sum of absolute differences
`mean_()` `mean()` `median()` `range()` `sd()` `max()` `min()` `sum()` `IQR()` `fivenum()` `iqr()` `prod()` `sum()` `favstats()` `quantile()` `var()` `cor()` `cov()`	Aggregating functions
`ntiles()`	Create vector based on roughly equally sized groups
`orrr()` `oddsRatio()` `relrisk()` `print(<oddsRatio>)` `print(<relrisk>)` `summary(<oddsRatio>)` `summary(<relrisk>)`	Odds Ratio and Relative Risk for 2 x 2 Contingency Tables
`zscore()`	Compute z-scores
Models and Distributions
`TukeyHSD(<lm>)` `TukeyHSD(<formula>)`	Additional interfaces to TukeyHSD
`binom.test()`	Exact Tests for Proportions
`cdist()` `xcgamma()` `xct()` `xcchisq()` `xcf()` `xcbinom()` `xcpois()` `xcgeom()` `xcnbinom()` `xcbeta()`	Central portion of a distribution
`chisq()`	Extract Chi-squared statistic
`cnorm()` `ct()`	Central Probability in a Normal or T Distribution
`confint(<numeric>)` `confint(<do.tbl_df>)` `confint(<do.data.frame>)` `confint(<data.frame>)` `confint(<summary.lm>)`	Confidence interval methods for output of resampling
`cor.test()` `cor_test()`	Alternative formula interface for cor.test
`diffmean()` `diffprop()`	Difference in means and proportions
`dpqrdist()`	Distribution wrapper
`fitModel()` `model()` `summary(<nlsfunction>)` `coef(<nlsfunction>)`	Fit a nonlinear least squares model
`fitSpline()`	Fit splines to data
`fortify(<summary.lm>)` `fortify(<summary.glm>)` `fortify(<TukeyHSD>)`	Extract data from R objects
`fortify(<hclust>)` `mplot(<hclust>)`	mosaic tools for clustering
`pdist()` `xpgamma()` `xpt()` `xpchisq()` `xpf()` `xpbinom()` `xppois()` `xpgeom()` `xpnbinom()` `xpbeta()`	Illustrated probability calculations from distributions
`prop.test()`	Exact and Approximate Tests for Proportions
`prop_test()`	Internal function for testing proportion
`qdata()` `cdata()` `pdata()` `rdata()` `ddata()`	The Data Distribution
`qdata_v()` `qdata_f()` `cdata_v()` `cdata_f()` `pdata_v()` `pdata_f()` `rdata_v()` `rdata_f()` `ddata_v()` `ddata_f()`	The Data Distribution
`qdist()` `xqgamma()` `xqt()` `xqchisq()` `xqf()` `xqbinom()` `xqpois()` `xqgeom()` `xqnbinom()` `xqbeta()`	Illustrated quantile calculations from distributions
`t_test()` `t.test()`	Student's t-Test
`update_ci()`	Update confidence interval
`xchisq.test()`	Augmented Chi-squared test
`xpnorm()` `xqnorm()` `xcnorm()`	Augmented versions of pnorm and qnorm
Simulation
`cull_for_do()`	Cull objects used with do()
`do()` `Do()` `print(<repeater>)` `*`(<repeater>,<ANY>)	Do Things Repeatedly
`CIsim()`	Compute confidence intervals from (multiple) simulated data sets
`rand()`	Random Regressors
`relm()`	Resample a Linear Model
`repeater-class`	Repeater objects
`resample()` `deal()` `shuffle()` `sample()`	More Random Samples
`rfun()` `rpoly2()`	Generate a natural-looking function
`rflip()` `print(<cointoss>)` `nflip()`	Tossing Coins
`rlatlon()` `rlonlat()` `rgeo()` `rgeo2()`	Sample longitude and latitude on a sphere
`rspin()`	Simulate spinning a spinner
`statTally()`	Tally test statistics
`swap()`	Swap values among columns of a data frame
Extractors
`confint(<htest>)` `pval()` `stat()`	Extract summary statistics
`rsquared()`	Extract r-squared value
`value()`	Extract value from an object
Other functions
`Broyden()`	Multi-Dimensional Root Finding
`CIAdata()`	Return a dataset based on the CIA World Factbook
`spliner()` `connector()` `smoother()` `linearModel()`	Create function from data
`adapt_seq()`	Adaptively generate sequences in an interval
`aggregatingFunction1()`	1-ary Aggregating functions
`aggregatingFunction1or2()`	1- or 2-ary aggregating functions
`aggregatingFunction2()`	2-ary aggregating functions
`as.xtabs()`	Convert objects to xtabs format
`cross()`	Factor cross products
`deg2rad()` `rad2deg()`	Convert between degrees and radians
`derivedVariable()` `derivedFactor()`	Create new variables from logicals
`docFile()`	Return the path to a documentation file in a package
`expandFun()`	Expand the left-hand side of a formula
`factorize()` `factorise()`	Conditionally convert vectors to factors
`findZeros()` `solve(<formula>)`	Find zeros of functions
`findZerosMult()`	Find the zeros of a function of two or more variables
`getVarFormula()`	Extract data from a data frame using a formula interface
`inferArgs()`	Infer arguments
`is.wholenumber()`	Check for whole number values
`mat()` `singvals()`	Functions for teaching linear algebra.
`mid()`	midpoints along a sequence
`maggregate()`	Aggregate for mosaic
`mosaic-package` `mosaic`	mosaic: the Project MOSAIC package
`mosaic.options()` `mosaic.getOption()` `mosaic.par.set()` `mosaic.par.get()` `restoreLatticeOptions()` `mosaicLatticeOptions()`	Setting options for mosaic package functions
`compareMean()` `compareProportion()` `deltaMethod()` `gwm()` `r.squared()` `mm()` `perctable()` `proptable()` `xhistogram()`	Defunct functions
`project()` `vlength()` `dot()`	Projections
`read.file()`	Read data files
`rescale()`	Rescale
`rstudio_is_available()`	Check whether RStudio is in use
`set.rseed()`	Set seed in parallel compatible way
`standardName()` `standardCountry()` `standardState()`	Standardization of Geographic Names
`surround()`	Format strings for pretty output
`xyz2latlon()` `latlon2xyz()` `lonlat2xyz()`	Convert back and forth between latitude/longitude and XYZ-space
Data
`Mustangs`	Mustang Prices
`Sleep`	Sleep and Memory
Deprecated and Defunct
`compareMean()` `compareProportion()` `deltaMethod()` `gwm()` `r.squared()` `mm()` `perctable()` `proptable()` `xhistogram()`	Defunct functions
`fetchData()` `fetchGapminder1()` `fetchGapminder()` `fetchGoogle()`	Defunct functions now in the fetch package

Reference

Plotting

Numerical Summaries

Models and Distributions

Simulation

Extractors

Other functions

Data

Deprecated and Defunct