Package index • 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() 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