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 mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities
 mosaic.options: Setting options for mosaic package functions
Setting options for mosaic package functions
Description
A mechanism for setting options in the mosaic package.
Usage
1 2 3 4 5 6 7 8 9 10 11  mosaic.options(...)
mosaic.getOption(name)
mosaic.par.set(name, value, ..., theme, warn = TRUE, strict = FALSE)
mosaic.par.get(name = NULL)
restoreLatticeOptions()
mosaicLatticeOptions()

Arguments
name 
the name of the option being set 
value 
the value to which to set the option 
theme 
a list appropriate for a mosaic theme 
warn 
a logical. UNUSED at present. 
strict 
a logical or numeric. 
... 
additional arguments that are turned into a list if a list cannot be inferred from

Details
restoreLatticeOptions
returns any lattice
options that were changed when the mosiac package was loaded
back to their premosaic state.
mosaicLatticeOptions
sets a number
of defaults for lattice graphics.
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 adapt_seq: Adaptively generate sequences in an interval
 aggregating: Aggregating functions
 aggregatingAux: Aggregate for mosaic
 aggregatingFunction1: 1ary Aggregating functions
 aggregatingFunction1or2: 1 or 2ary aggregating functions
 aggregatingFunction2: 2ary aggregating functions
 ashplot: Average Shifted Histograms
 asxtabs: Convert objects to xtabs format
 bargraph: Create bar graphs from raw data
 binom.test: Exact Tests for Proportions
 Broyden: MultiDimensional Root Finding
 Calculus: Derivative and Antiderivative operators
 cdist: Central portion of a distribution
 chisq: Extract Chisquared statistic
 CIAdata: Return a dataset based on the CIA World Factbook
 CIsim: Compute confidence intervals from (multiple) simulated data...
 clustering: mosaic tools for clustering
 coef: Extract coefficients from a function
 columns: return a vector of row or column indices
 compareMean: Compare means between 2 groups
 compareProportion: Compare proportions between 2 groups
 confint: Confidence interval methods for output of resampling
 cross: Factor cross products
 cull_for_do: Cull objects used with do()
 defunctfetch: Defunct functions now in the fetch package
 deg2rad: Convert between degrees and radians
 deltaMethod: deltaMethod has moved to a separate package
 derivedVariable: Create new variables from logicals
 dfapply: applytype function for data frames
 diffmean: Difference in means and proportions
 do: Do Things Repeatedly
 docFile: Return the path to a documentation file in a package
 dotPlot: Dotplots
 dpqrdist: Distribution wrapper
 ediff: Lagged Differences with equal length
 evalFormula: Evaluate a formula
 evalSubFormula: Evaluate a part of a formula
 expandFun: Expand the lefthand side of a formula
 factorize: Conditionally convert vectors to factors
 fav_stats: Some favorite statistical summaries
 findZeros: Find zeros of functions
 findZerosMult: Find the zeros of a function of two or more variables
 fitModel: Fit a nonlinear least squares model
 fitSpline: Fit splines to data
 formularise: Convert lazy objects into formulas
 fortify: Extract data from R objects
 freqpoly: Turn histograms into frequency polygons
 freqpolygon: Frequency Polygons
 FunctionsFromData: Create function from data
 geom_spline: Geoms and stats for spline smoother
 getVarFormula: Extract data from a data frame using a formula interface
 googleMap: Display a point on earth on a Google Map
 gwm: Groupwise models Construct a model based on groupwise means...
 inferArgs: Infer arguments
 inspect: Inspect objects
 integrateODE: Integrate ordinary differential equations
 interval: Extract summary statistics
 is.wholenumber: Check for whole number values
 joinFrames: Join data frames
 ladd: Add to Lattice Plots
 latlon2xyz: Convert back and forth between latitude/longitude and...
 linear.algebra: Functions for teaching linear algebra.
 logical2factor: Turn logicals into factors; leave other things alone
 logit: Logit and inverse logit functions
 MAD: All pairs mean and sum of absolute differences
 MAD_: All pairs mean and sum of absolute differences
 makeColorscheme: Create a color generating function from a vector of colors
 makeFun: Create a function from a formula
 makeMap: Make a map with 'ggplot2'
 mid: midpoints along a sequence
 mm: Construct a model based on groupwise means
 modelVars: extract predictor variables from a model
 mosaicformula: Convert formulas into standard shapes
 mosaicinternal: Check if formula
 mosaic.options: Setting options for mosaic package functions
 mosaicpackage: mosaic: the Project MOSAIC package
 mplot: Generic plotting
 mPlotting: Interactive plotting
 MSPE: Mean Squared Prediction Error
 msummary: Modified summaries
 mUSMap: Make a US map with 'ggplot2'
 mWorldMap: Make a world map with 'ggplot2'
 named: List extraction
 nicenames: Nice names
 n_missing: counting missing elements
 ntiles: Create vector based on roughly equally sized groups
 numD: Numerical Derivatives
 oddsRatio: Odds Ratio and Relative Risk for 2 x 2 Contingency Tables
 panel.levelcontourplot: Lattice plot that draws a filled contour plot
 panel.lmbands: show confidence and preciction bands on plots
 panel.plotFun: Panel function for plotting functions
 panel.plotFun1: Panel function for plotting functions
 parseFormula: Parse formulas
 pdist: Illustrated probability calculations from distributions
 perctable: Cross tabulation displayed as percents or proportions
 plotCumfreq: Cumulative frequency plots
 plotDist: Plots of Discrete and Continuous Distributions
 plotFun: Plotting mathematical expressions
 plotModel: Plot a regression model
 plotPoints: Scatter plot of points
 pqrdata: The Data Distribution
 pqrdata2: The Data Distribution
 predict.groupwiseModel: Evaluate a groupwise model given new data
 projectmethods: Projections
 prop: Compute proportions, percents, or counts for a single level
 prop.test: Exact and Approximate Tests for Proportions
 qdist: Illustrated quantile calculations from distributions
 rand: Random Regressors
 read.file: Read data files
 reexports: Objects exported from other packages
 relm: Resample a Linear Model
 repeaterclass: Repeater objects
 resample: More Random Samples
 rescale: Rescale
 rflip: Tossing Coins
 rfun: Generate a naturallooking function
 rgeo: Sample longitude and latitude on a sphere
 rgeointernals: rgeo internal functions
 rkintegrate: A simple RungeKutte integrator
 rspin: Simulate spinning a spinnner
 rsquared: Extract rsquared value
 r.squared: Extract rsquared value
 rstudio: Check whether RStudio is in use
 set.rseed: Set seed in parallel compatible way
 simplify: Takes a call and returns its polynomial coefficients
 sp2df: Transforms a shapefile into a dataframe
 standardName: Standardization of Geographic Names
 statTally: Tally test statistics
 surround: Format strings for pretty output
 swap: Swap values among columns of a data frame
 symbolicD: Symbolic Derivatives
 symbolicInt: Find the symbolic integral of a formula
 tally: Tabulate categorical data
 theme_map: ggplot2 theme for maps
 themes: Lattice Theme
 ttest: Student's tTest
 TukeyHSD.lm: Additional interfaces to TukeyHSD
 update_ci: Update confidence interval
 value: Extract value from an object
 vector2df: Convert a vector to a data frame
 xchisq.test: Augmented Chisquared test
 xhistogram: Augmented histograms
 xpnorm: Augmented versions of pnorm and qnorm
 xqqmath: Augmented version of 'qqmath'
 zscore: Compute zscores