Package index • DescTools

About Package
`DescTools-package` `DescTools`	Tools for Descriptive Statistics and Exploratory Data Analysis
Data Manipulation
Operators
`%()%` `%(]%` `%[)%` `%[]%` `%][%` `%](%` `%)[%` `%)(%` `%:%` `%::%`	Operators To Check, If a Value Lies Within Or Outside a Given Range
`%^%`	Matrix Power
`%c%`	Concatenates Two Strings Without Any Separator
`%like%` `%like any%`	Like Operator
`%nin%`	Find Matching (or Non-Matching) Elements
`%overlaps%` `Overlap()` `Interval()`	Determines If And How Extensively Two Date Ranges Overlap
Transformations & Recoding
`BoxCox()` `BoxCoxInv()`	Box Cox Transformation
`BoxCoxLambda()`	Automatic Selection of Box Cox Transformation Parameter
`FisherZ()` `FisherZInv()` `CorCI()`	Fisher-Transformation for Correlation to z-Score
`Frac()` `MaxDigits()` `Ndec()` `Prec()`	Fractional Part and Maximal Digits of a Numeric Value
`ImputeKnn()`	Fill in NA values with the values of the nearest neighbours
`LinScale()`	Linear Scaling
`Logit()` `LogitInv()`	Generalized Logit and Inverse Logit Function
`LogSt()` `LogStInv()`	Started Logarithmic Transformation and Its Inverse
`PercentRank()`	Percent Ranks
`Rank()`	Fast Sample Ranks
`RoundTo()`	Round to Multiple
`Winsorize()`	Winsorize (Replace Extreme Values by Less Extreme Ones)
`ZeroIfNA()` `NAIfZero()` `NAIf()` `BlankIfNA()` `NAIfBlank()` `Impute()`	Replace NAs by 0
`NZ()`	Non Zero Elements
`CutQ()`	Create a Factor Variable Using the Quantiles of a Continuous Variable
`CutAge()`	Create a Factor Variable by Cutting an Age Variable
`Recode()`	Recode a Factor
`NALevel()`	Replace NAs in a Factor by a Given Level
`Dummy()`	Generate Dummy Codes for a Factor
`GeomTrans()`	Geometric Transformations
Change Order
`LOCF()`	Last Observation Carried Forward
`reorder(<factor>)`	Reorder the Levels of a Factor
`Rev()`	Reverse Elements of a Vector, a Matrix, a Table, an Array or a Data.frame
`Sort()`	Sort a Vector, a Matrix, a Table or a Data.frame
`SortMixed()` `OrderMixed()`	Sort Strings with Embedded Numbers Based on Their Numeric Order
`VecRot()` `VecShift()`	Vector Rotation (Shift Elements)
Change Size
`Abind()`	Combine Multidimensional Arrays
`Append()`	Append Elements to Objects
`AppendRowNames()`	Append Rownames to a Data Frame
`Trim()`	Trim a Vector
Reshape Data
`SplitToCol()`	Split Data Frame String Column Into Multiple Columns
`SplitToDummy()`	Split Strings of a Vector and Provide Dummy Codes for Found Pieces
`CollapseTable()`	Collapse Levels of a Table
`Untable()`	Recover Original Data From Contingency Table
`ToLong()` `ToWide()`	Reshape a Vector From Long to Wide Shape Or Vice Versa
`TextToTable()`	Converts String To a Table
`MultMerge()`	Merge Multiple Data Frames
`as.matrix(<xtabs>)`	Convert xtabs To matrix
Names and Metadata
`Rename()`	Change Names of a Named Object
`SetNames()`	Set the Names in an Object
`Label()` `Label<-`() `Labels()` `Labels<-`() `Unit()` `Unit<-`()	Label, Unit Attribute of an Object
String Functions
`ZeroIfNA()` `NAIfZero()` `NAIf()` `BlankIfNA()` `NAIfBlank()` `Impute()`	Replace NAs by 0
`ColumnWrap()`	Column Wrap
`FixToTable()`	Convert a Text to a Table
`StrAbbr()`	String Abbreviation
`StrAlign()`	String Alignment
`StrCap()`	Capitalize the First Letter of a String
`StrChop()`	Split a String into a Number of Sections of Defined Length
`StrCountW()`	Count Words in a String
`StrDist()`	Compute Distances Between Strings
`StrExtract()` `StrExtractBetween()`	Extract Part of a String
`StrIsNumeric()`	Does a String Contain Only Numeric Data
`StrLeft()` `StrRight()`	Returns the Left Or the Right Part Of a String
`StrPad()`	Pad a String With Justification
`StrPos()`	Find Position of First Occurrence Of a String
`StrRev()`	Reverse a String
`StrSpell()`	Spell a String Using the NATO Phonetic or the Morse Alphabet
`StrSplit()`	Split the Elements of a Character Vector
`StrTrim()`	Remove Leading/Trailing Whitespace From A String
`StrTrunc()`	Truncate Strings and Add Ellipses If a String is Truncated.
`StrVal()`	Extract All Numeric Values From a String
`Mgsub()`	Multiple Gsub
Date Functions
`day.name` `day.abb`	Build-in Constants Extension
`AddMonths()`	Add a Month to a Date
`as.ym()` `as.Date(<ym>)` `AddMonths(<ym>)`	A Class for Dealing with the Yearmonth Format
`IsDate()`	Check If an Object Is of Type Date
`Year()` `Quarter()` `Month()` `Week()` `Day()` `Weekday()` `YearDay()` `YearMonth()` `Day<-`() `IsWeekend()` `IsLeapYear()` `Hour()` `Minute()` `Second()` `Timezone()` `HmsToMinute()` `Now()` `Today()` `DiffDays360()` `LastDayOfMonth()` `YearDays()` `MonthDays()`	Basic Date Functions
`CountWorkDays()`	Count Work Days Between Two Dates
`HmsToSec()` `SecToHms()`	Convert h:m:s To/From Seconds
`%overlaps%` `Overlap()` `Interval()`	Determines If And How Extensively Two Date Ranges Overlap
`Zodiac()`	Calculate the Zodiac of a Date
Conversion Functions
`AscToChar()` `CharToAsc()`	Convert ASCII Codes to Characters and Vice Versa
`BinToDec()` `DecToBin()` `OctToDec()` `DecToOct()` `HexToDec()` `DecToHex()`	Converts Numbers From Binmode, Octmode or Hexmode to Decimal and Vice Versa
`DegToRad()` `RadToDeg()`	Convert Degrees to Radians and Vice Versa
`CartToPol()` `PolToCart()` `CartToSph()` `SphToCart()`	Transform Cartesian to Polar/Spherical Coordinates and Vice Versa
`RomanToInt()`	Convert Roman Numerals to Integers
`RgbToCol()` `RgbToLong()` `LongToRgb()`	Find the Nearest Named R-Color to a Given RGB-Color
`RgbToCmy()` `CmykToRgb()` `CmyToCmyk()` `CmykToCmy()`	Conversion Between RGB and CMYK
`ColToGrey()` `ColToGray()`	Convert Colors to Grey/Grayscale
`ColToHex()`	Convert a Color or a RGB-color Into Hex String
`HexToCol()`	Identify Closest Match to a Color Given by a Hexadecimal String
`HexToRgb()`	Convert a Hexstring Color to a Matrix With Three Red/Green/Blue Rows
`ColToOpaque()`	Equivalent Opaque Color for Transparent Color
`ColToHsv()`	R Color to HSV Conversion
`ColToRgb()`	Color to RGB Conversion
`CmToPts()` `PtsToCm()` `ConvUnit()` `d.units` `d.prefix`	Unit Conversion and Metrix Prefixes
`Nf()`	As Numeric Factor
Plotting
Plots (High Level)
`Lc()` `plot(<Lc>)` `plot(<Lclist>)` `lines(<Lc>)` `predict(<Lc>)`	Lorenz Curve
`PlotACF()` `PlotGACF()`	Combined Plot of a Time Series and Its ACF and PACF
`PlotArea(<default>)` `PlotArea(<formula>)`	Create an Area Plot
`PlotBag()` `PlotBagPairs()` `compute.bagplot()` `plot(<bagplot>)`	Bivariate Boxplot
`BinTree()` `PlotBinTree()`	Binary Tree
`PlotBubble()`	Draw a Bubble Plot
`PlotCandlestick()`	Plot Candlestick Chart
`PlotCashFlow()`	Cash Flow Plot
`PlotCirc()`	Plot Circular Plot
`PlotConDens()`	Plot Conditional Densities
`PlotCorr()`	Plot a Correlation Matrix
`PlotDot()` `PlotDotCI()`	Cleveland's Dot Plots
`PlotECDF()`	Empirical Cumulative Distribution Function
`PlotFaces()`	Chernoff Faces
`PlotFdist()`	Frequency Distribution Plot
`PlotFun()`	Plot a Function
`PlotLinesA()`	Plot Lines
`PlotLog()`	Logarithmic Plot
`PlotMarDens()`	Scatterplot With Marginal Densities
`PlotMiss()`	Plot Missing Data
`PlotMonth()`	Cycle Plot for Seasonal Effects of an Univariate Time Series
`PlotMosaic()`	Mosaic Plots
`PlotMultiDens()`	Plot Multiple Density Curves
`PlotPairs()`	Extended Scatterplot Matrices
`PlotPolar()`	Plot Values on a Circular Grid
`PlotProbDist()`	Plot Probability Distribution
`PlotPyramid()`	Draw a Back To Back Pyramid Plot
`PlotQQ()`	QQ-Plot for Any Distribution
`PlotTernary()`	Ternary or Triangular Plots
`PlotTreemap()`	Create a Treemap
`PlotVenn()`	Plot a Venn Diagram
`PlotViolin()`	Plot Violins Instead of Boxplots
`PlotWeb()`	Plot a Web of Connected Points
`PolarGrid()`	Plot a Grid in Polar Coordinates
Plots (Low Level)
`ABCCoords()`	Coordinates for "bottomright", etc.
`Asp()`	Get Aspect Ratio of the Current Plot
`AxisBreak()`	Place a Break Mark on an Axis
`axTicks.POSIXct()` `axTicks.Date()`	Compute Axis Tickmark Locations (For POSIXct Axis)
`BarText()`	Place Value Labels on a Barplot
`Bg()`	Background of a Plot
`BoxedText()`	Add Text in a Box to a Plot
`BubbleLegend()`	Add a Legend to a Bubble Plot
`Canvas()`	Canvas for Geometric Plotting
`ConnLines()`	Add Connection Lines to a Barplot
`DrawArc()`	Draw Elliptic Arc(s)
`DrawBand()`	Draw Confidence Band
`DrawBezier()`	Draw a Bezier Curve
`DrawCircle()`	Draw a Circle
`DrawEllipse()`	Draw an Ellipse
`DrawRegPolygon()`	Draw Regular Polygon(s)
`ErrBars()`	Add Error Bars to an Existing Plot
`identify(<formula>)`	Identify Points In a Plot Using a Formula
`IdentifyA()`	Identify Points in Plot Lying Within a Rectangle or Polygon
`lines(<lm>)`	Add a Linear Regression Line
`lines(<loess>)` `lines(<smooth.spline>)` `lines(<SmoothSpline>)`	Add a Loess or a Spline Smoother
`LineToUser()`	Convert Line Coordinates To User Coordinates
`Mar()` `Mgp()`	Set Plot Margins and Distances
`PtInPoly()`	Point in Polygon
`Rotate()`	Rotate a Geometric Structure
`Shade()`	Produce a Shaded Curve
`SmoothSpline()`	Formula Interface For `smooth.spline`
`SpreadOut()`	Spread Out a Vector of Numbers To a Minimum Interval
`Stamp()`	Date/Time/Directory Stamp the Current Plot
`TitleRect()`	Plot Boxed Annotation
Colors
`ColorLegend()`	Add a ColorLegend to a Plot
`FindColor()`	Get Color on a Defined Color Range
`MixColor()`	Compute the Convex Combination of Two Colors
`Pal()` `plot(<palette>)` `hred` `horange` `hyellow` `hecru` `hblue` `hgreen`	Some Custom Palettes
`SetAlpha()` `Fade()`	Add an Alpha Channel To a Color
`TextContrastColor()`	Choose Textcolor Depending on Background Color
Exploratory Analysis & Reporting
`Abstract()` `print(<abstract>)`	Display Compact Abstract of a Data Frame
`CatTable()`	Function to write a table
`CountCompCases()` `print(<CountCompCases>)`	Count Complete Cases
`CompleteColumns()`	Find Complete Columns
`Desc()` `print(<Desc>)` `plot(<Desc>)`	Describe Data
`ExpFreq()`	Expected Frequencies
`Format()` `Fmt()` `as.fmt()` `as.CDateFmt()`	Format Numbers and Dates
`Freq2D()`	Bivariate (Two-Dimensional) Frequency Distribution
`Freq()` `print(<Freq>)`	Frequency Table for a Single Variable
`Small()` `Large()` `HighLow()`	Kth Smallest/Largest Values
`PercTable(<default>)` `PercTable(<table>)` `PercTable(<formula>)` `print(<PercTable>)` `Margins()`	Percentage Table
`Str()`	Compactly Display the Structure of any R Object
`TMod()` `ModSummary()` `plot(<TMod>)` `print(<TMod>)`	Comparison Table For Linear Models
`TOne()`	Create Table One Describing Baseline Characteristics
`TwoGroups()` `ToWrd(<TwoGroups>)`	Describe a Variable by a Factor with Two Levels
Utilities for Statistical Analysis
`Contrasts()`	Pairwise Contrasts
`BootCI()`	Simple Bootstrap Confidence Intervals
`DoBy()`	Evaluates a Function Groupwise
`PairApply()`	Pairwise Calculations
Statistics and Coefficients
Statistics: Central Tendency / Location
`Mode()`	Mode, Most Frequent Value(s)
`Mean()`	(Weighted) Arithmetic Mean
`MeanSE()`	Standard Error of Mean
`MeanCI()`	Confidence Intervals for the Mean
`MeanCIn()`	Sample Size for a Given Width of a Confidence Interval for a Mean
`MeanDiffCI()`	Confidence Interval For Difference of Means
`Gmean()` `Gsd()`	Geometric Mean and Standard Deviation
`Hmean()`	Harmonic Mean and Its Confidence Interval
`MoveAvg()`	Moving Average
`Median()`	(Weighted) Median Value
`MedianCI()`	Confidence Interval for the Median
`Quantile()`	(Weighted) Sample Quantiles
`QuantileCI()`	Confidence Interval for Any Quantile
`TukeyBiweight()`	Calculate Tukey's Biweight Robust Mean
`HuberM()`	Safe (generalized) Huber M-Estimator of Location
`HodgesLehmann()`	Hodges-Lehmann Estimator of Location
Statistics: Dispersion / Variation
`Range()`	(Robust) Range
`SD()` `SDN()`	(Weighted) Standard Deviation
`Var()` `VarN()`	Variance
`VarCI()`	Confidence Intervals for the Variance
`CoefVar()` `CoefVarCI()`	Coefficient of Variation
`MAD()`	Median Absolute Deviation
`MADCI()`	Confidence Intervals for Median Absolute Deviations
`MeanAD()`	Mean Absolute Deviation From a Center Point
`IQRw()`	The (weighted) Interquartile Range
`Gmean()` `Gsd()`	Geometric Mean and Standard Deviation
Statistics: Shape of Distribution
`Skew()` `Kurt()`	Skewness and Kurtosis
`Outlier()`	Outlier
`LOF()`	Local Outlier Factor
Statistics: Count Variables
`PoissonCI()`	Poisson Confidence Interval
Statistics: Proportions
`BinomCI()`	Confidence Intervals for Binomial Proportions
`BinomCIn()`	Sample Size for a Given Width of a Binomial Confidence Interval
`MultinomCI()`	Confidence Intervals for Multinomial Proportions
`BinomRatioCI()`	Confidence Intervals for the Ratio of Binomial Proportions
`BinomDiffCI()`	Confidence Interval for a Difference of Binomials
`OddsRatio()`	Odds Ratio Estimation and Confidence Intervals
`RelRisk()`	Relative Risk
`ORToRelRisk()`	Transform Odds Ratio to Relative Risk
Statistics: Correlation
`Cov()` `Cor()`	Covariance and Correlation (Matrices)
`FisherZ()` `FisherZInv()` `CorCI()`	Fisher-Transformation for Correlation to z-Score
`CorPart()`	Find the Correlations for a Set x of Variables With Set y Removed
`CorPolychor()` `print(<CorPolychor>)`	Polychoric Correlation
`SpearmanRho()`	Spearman Rank Correlation
`KendallTauA()`	Kendall's \(\tau_{a}\)
`KendallTauB()`	Kendall's \(\tau_{b}\)
`StuartTauC()`	Stuart \(\tau_{c}\)
`HoeffD()` `print(<HoeffD>)`	Matrix of Hoeffding's D Statistics
`KendallW()`	Kendall's Coefficient of Concordance W
`CCC()`	Concordance Correlation Coefficient
`ICC()` `print(<ICC>)`	Intraclass Correlations (ICC1, ICC2, ICC3 From Shrout and Fleiss)
`FindCorr()`	Determine Highly Correlated Variables
`ConDisPairs()`	Concordant and Discordant Pairs
Statistics: Association
`Assocs()` `print(<Assocs>)`	Association Measures
`SomersDelta()`	Somers' Delta
`Lambda()`	Goodman Kruskal Lambda
`GoodmanKruskalTau()`	Goodman Kruskal's Tau
`Phi()` `ContCoef()` `CramerV()` `YuleQ()` `YuleY()` `TschuprowT()`	Cramer's V, Pearson's Contingency Coefficient and Phi Coefficient Yule's Q and Y, Tschuprow's T
`GoodmanKruskalGamma()`	Goodman Kruskal's Gamma
`UncertCoef()`	Uncertainty Coefficient
`Entropy()` `MutInf()`	Shannon Entropy and Mutual Information
`DivCoef()`	Rao's Diversity Coefficient
`DivCoefMax()`	Maximal value of Rao's diversity coefficient also called quadratic entropy
`TheilU()`	Theil's U Index of Inequality
`Agree()`	Raw Simple And Extended Percentage Agreement
`CohenKappa()`	Cohen's Kappa and Weighted Kappa
`KappaM()`	Kappa for m Raters
`CronbachAlpha()`	Cronbach's Coefficient Alpha
`KrippAlpha()`	Krippendorff's Alpha Reliability Coefficient
Statistics: Concentration
`Gini()`	Gini Coefficient
`Atkinson()`	Atkinson Index - A Measure of Inequality.
`Herfindahl()` `Rosenbluth()`	Concentration Measures
`GiniSimpson()` `GiniDeltas()` `HunterGaston()`	Gini-Simpson Coefficient, Gini-Deltas coefficient and Hunter-Gaston Index
Statistics: Effect Size and Model Assessment
`CohenD()`	Cohen's Effect Size
`EtaSq()`	Effect Size Calculations for ANOVAs
`BrierScore()`	Brier Score for Assessing Prediction Accuracy
`BrierScoreCI()`	Confidence Intervals for the BrierScore
`Cstat()`	C Statistic (Area Under the ROC Curve)
`CstatCI()`	Confidence Intervals for the C Statistic (AUC)
`MAE()` `MAPE()` `SMAPE()` `MSE()` `RMSE()` `NMAE()` `NMSE()`	Measures of Accuracy
`Conf()` `plot(<Conf>)` `print(<Conf>)` `Sens()` `Spec()`	Confusion Matrix And Associated Statistics
`PseudoR2()`	Pseudo R2 Statistics
`VIF()`	Variance Inflation Factors
`StdCoef()` `PartialSD()`	Standardized Model Coefficients
`RSqCI()`	Confidence Intervals for the R squared of a Linear Model
Statistical Tests
`SignTest()`	Sign Test
`ZTest()`	Z Test for Known Population Standard Deviation
`TTestA()`	Student's t-Test Based on Sample Statistics
`Phrase()`	Phrasing Results of t-Test
`JonckheereTerpstraTest()`	Exact Version of Jonckheere-Terpstra Test
`PageTest()`	Exact Page Test for Ordered Alternatives
`CochranQTest()`	Cochran's Q test
`VarTest()`	ChiSquare Test for One Variance and F Test to Compare Two Variances
`SiegelTukeyTest()` `SiegelTukeyRank()`	Siegel-Tukey Test For Equality In Variability
`LeveneTest()`	Levene's Test for Homogeneity of Variance
`MosesTest()`	Moses Test of Extreme Reactions
`RunsTest()`	Runs Test for Randomness
`DurbinWatsonTest()`	Durbin-Watson Test
`BartelsRankTest()`	Bartels Rank Test of Randomness
`JarqueBeraTest()`	(Robust) Jarque Bera Test
`AndersonDarlingTest()`	Anderson-Darling Test of Goodness-of-Fit
`CramerVonMisesTest()`	Cramer-von Mises Test for Normality
`LillieTest()`	Lilliefors (Kolmogorov-Smirnov) Test for Normality
`PearsonTest()`	Pearson Chi-Square Test for Normality
`ShapiroFranciaTest()`	Shapiro-Francia Test for Normality
`MHChisqTest()`	Mantel-Haenszel Chi-Square Test
`StuartMaxwellTest()`	Stuart-Maxwell Marginal Homogeneity Test
`LehmacherTest()` `print(<mtest>)`	Lehmacher's Test for Marginal Homogenity
`CochranArmitageTest()`	Cochran-Armitage Test for Trend
`BreslowDayTest()`	Breslow-Day Test for Homogeneity of the Odds Ratios
`WoolfTest()`	Woolf Test For Homogeneity in 2x2xk Tables
`PostHocTest()` `print(<PostHocTest>)` `plot(<PostHocTest>)`	Post-Hoc Tests
`ScheffeTest()`	Scheffe Test for Pairwise and Otherwise Comparisons
`DunnTest()` `print(<DunnTest>)`	Dunn's Test of Multiple Comparisons
`DunnettTest()`	Dunnett's Test for Comparing Several Treatments With a Control
`ConoverTest()`	Conover's Test of Multiple Comparisons
`NemenyiTest()`	Nemenyi Test
`VanWaerdenTest()`	van der Waerden Test
`HotellingsT2Test()`	Hotelling's T2 Test
`YuenTTest()`	Yuen t-Test For Trimmed Means
`BarnardTest()`	Barnard's Unconditional Test
`BhapkarTest()`	Bhapkar Marginal Homogeneity Test
`BreuschGodfreyTest()`	Breusch-Godfrey Test
`GTest()`	G-Test for Count Data
`power.chisq.test()`	Power Calculations for ChiSquared Tests
`HosmerLemeshowTest()`	Hosmer-Lemeshow Goodness of Fit Tests
`VonNeumannTest()`	Von Neumann's Successive Difference Test
`Eps()`	Greenhouse-Geisser And Huynh-Feldt Epsilons
Distributions
`dBenf()` `pBenf()` `qBenf()` `rBenf()`	Benford's Distribution
`dExtrVal()` `pExtrVal()` `qExtrVal()` `rExtrVal()`	Distributions of Maxima and Minima
`dFrechet()` `pFrechet()` `qFrechet()` `rFrechet()`	The Frechet Distribution
`dGenExtrVal()` `pGenExtrVal()` `qGenExtrVal()` `rGenExtrVal()`	The Generalized Extreme Value Distribution
`dGenPareto()` `pGenPareto()` `qGenPareto()` `rGenPareto()`	The Generalized Pareto Distribution
`dGompertz()` `pGompertz()` `qGompertz()` `rGompertz()`	The Gompertz distribution
`dGumbel()` `pGumbel()` `qGumbel()` `rGumbel()`	The Gumbel Distribution
`dRevWeibull()` `pRevWeibull()` `qRevWeibull()` `rRevWeibull()` `dNegWeibull()` `pNegWeibull()` `qNegWeibull()` `rNegWeibull()`	The Reverse Weibull Distribution
`dOrder()` `pOrder()` `rOrder()`	Distributions of Order Statistics
`dRevGumbel()` `pRevGumbel()` `qRevGumbel()` `rRevGumbel()` `qRevGumbelExp()`	"Reverse" Gumbel Distribution Functions
`dTri()` `pTri()` `qTri()` `rTri()`	The Triangular Distribution
Finance Functions
`OPR()` `NPV()` `IRR()` `NPVFixBond()` `YTM()`	Short Selection of Financial Mathematical Functions
`SLN()` `DB()` `SYD()`	Several Methods of Depreciation of an Asset
`PMT()` `IPMT()` `PPMT()` `RBAL()`	Periodic Payment of an Annuity.
Word, Excel, PowerPoint, SAS: In/Out
`GetNewPP()` `GetCurrPP()` `PpAddSlide()` `PpPlot()` `PpText()`	Add Slides, Insert Texts and Plots to PowerPoint
`GetCurrWrd()` `GetCurrXL()`	Get a Handle to a Running Word/Excel Instance
`GetNewWrd()` `WrdKill()`	Create a New Word Instance
`GetNewXL()`	Create a New Excel Instance
`IsValidHwnd()`	Check Windows Pointer
`ParseSASDatalines()`	Parse a SAS Dataline Command
`ReadSPSS()`	Read SPSS Datafiles and Return It in Good Old Style Data Frame Structure
`ToWrd()`	Send Objects to Word
`ToWrdB()`	Send Objects to Word and Bookmark Them
`ToWrdPlot()`	Send a Plot to Word and Bookmark it
`XLView()` `ToXL()` `XLKill()`	Use MS-Excel as Viewer for a Data.Frame
`wdConst` `xlConst`	Word VBA Constants
`WrdBookmark()` `WrdInsertBookmark()` `WrdDeleteBookmark()` `WrdGoto()` `WrdUpdateBookmark()`	Some Functions to Handle MS-Word Bookmarks
`WrdCaption()`	Insert Caption to Word
`WrdCellRange()`	Return the Cell Range Of a Word Table
`WrdFont()` `WrdFont<-`()	Get or Set the Font in Word
`WrdFormatCells()`	Format Cells Of a Word Table
`WrdMergeCells()`	Merges Cells Of a Defined Word Table Range
`WrdPageBreak()`	Insert a Page Break
`WrdParagraphFormat()` `WrdParagraphFormat<-`()	Get or Set the Paragraph Format in Word
`WrdPlot()`	Insert Active Plot to Word
`WrdOpenFile()` `WrdSaveAs()`	Open and Save Word Documents
`WrdStyle()` `WrdStyle<-`()	Get or Set the Style in Word
`WrdTable()`	Insert a Table in a Word Document
`WrdTableHeading()`	Insert Headings for a Table in Word
`WrdTableBorders()`	Draw Borders to a Word Table
`XLDateToPOSIXct()`	Convert Excel Dates to POSIXct
`XLGetRange()` `XLGetWorkbook()` `XLCurrReg()` `XLNamedReg()`	Import Data Directly From Excel
`XLSaveAs()`	Save Excel File
Sampling and Data Generation
`GenRandGroups()`	Generate Random Groups
`Sample()`	Random Samples and Permutations
`Strata()`	Stratified Sampling
`Permn()` `CombN()` `CombSet()`	Number and Samples for Permutations or Combinations of a Set
`SampleTwins()`	Sample Twins
`RndPairs()` `RndWord()`	Create Pairs of Correlated Random Numbers
`rSum21()`	Random Numbers Adding Up to 1
`Some()`	Return Some Randomly Chosen Elements of an Object
Tools and Utilities
`AllIdentical()`	Test Multiple Objects for Exact Equality
`DescToolsOptions()`	DescTools Options
`DoCall()`	Fast Alternative To The Internal `do.call`
`FctArgs()`	Retrieve a Function's Arguments
`GetCalls()`	Return All Used Functions Within a Function
`InDots()`	Is a Specific Argument in the Dots-Arguments?
`Keywords()`	List Keywords For R Manual Pages
`LsObj()` `LsFct()`	List Objects, Functions Or Data in a Package
`N()`	Some Aliases Set for Convenience
`ParseFormula()`	Parse a Formula and Create a Model Frame
`PasswordDlg()`	Password Dialog
`PDFManual()`	Get PDF Manual of a Package From CRAN
`Recycle()`	Recyle a List of Elements
`RSessionAlive()` `RTempdirAlive()`	How Long Has the RSession Been Running?
`SendOutlookMail()`	Send a Mail Using Outlook as Mail Client
`split(<formula>)`	Formula Interface for Split
`SplitAt()`	Split a Vector Into Several Pieces at Given Positions
`SetAttr()` `StripAttr()`	Remove Attributes from an Object
`SplitPath()`	Split Path In Drive, Path, Filename
`SysInfo()` `FindRProfile()`	System Information
`Unwhich()`	Inverse Which
`Vigenere()`	Vigenere Cypher
`AllDuplicated()`	Index Vector of All Values Involved in Ties
`Coalesce()`	Return the First Element Not Being NA
`Quot()`	Lagged Quotients
`SaveAs()`	Saves an R Object Under a Different Name
`WithOptions()`	Execute Function with Temporary Options
`RevCode()`	Reverse Codes
`IsWhole()` `IsZero()` `IsNumeric()`	Check a Vector For Being Numeric, Zero Or a Whole Number
`IsDichotomous()` `Flags()`	Test If a Variable Contains Only Two Unique Values
`IsOdd()`	Checks If An Integer Is Even Or Odd
`IsPrime()`	IsPrime Property
`IsEuclid()`	Is a Distance Matrix Euclidean?
Calculations
`AUC()`	Area Under the Curve
`BinTree()` `PlotBinTree()`	Binary Tree
`Clockwise()`	Calculates Begin and End Angle From a List of Given Angles in Clockwise Mode
`Closest()`	Find the Closest Value
`CombPairs()`	Get All Pairs Out of One or Two Sets of Elements
`Cross()`	Vector Cross Product
`CrossN()`	n-dimensional Vector Cross Product
`DigitSum()`	Calculate Digit Sum
`Divisors()`	Calculate Divisors
`Dot()`	Scalar Product
`Factorize()`	Prime Factorization of Integers
`Fibonacci()`	Fibonacci Numbers
`GCD()` `LCM()`	Greatest Common Divisor and Least Common Multiple
`GeomSn()`	Geometric Series
`Midx()`	Find the Midpoints of a Numeric Vector
`Primes()`	Find All Primes Less Than n
`RobScale()`	Robust Scaling With Median and Mad
`UnirootAll()`	Finds many (all) roots of one equation within an interval
`EX()` `VarX()`	Expected Value and Variance
Data
Datasets
`CourseData()`	Get HWZ Datasets
`d.pizza`	Data pizza
`d.whisky`	Classification of Scotch Single Malts
`d.diamonds`	Data diamonds
Reference Data
`CmToPts()` `PtsToCm()` `ConvUnit()` `d.units` `d.prefix`	Unit Conversion and Metrix Prefixes
`cards` `tarot` `roulette`	Datasets for Probabilistic Simulation
`d.countries`	ISO 3166-1 Country Codes
`d.periodic`	Periodic Table of Elements

Reference

About Package

Data Manipulation

Operators

Transformations & Recoding

Change Order

Change Size

Reshape Data

Names and Metadata

String Functions

Date Functions

Conversion Functions

Plotting

Plots (High Level)

Plots (Low Level)

Colors

Exploratory Analysis & Reporting

Utilities for Statistical Analysis

Statistics and Coefficients

Statistics: Central Tendency / Location

Statistics: Dispersion / Variation

Statistics: Shape of Distribution

Statistics: Count Variables

Statistics: Proportions

Statistics: Correlation

Statistics: Association

Statistics: Concentration

Statistics: Effect Size and Model Assessment

Statistical Tests

Distributions

Finance Functions

Word, Excel, PowerPoint, SAS: In/Out

Sampling and Data Generation

Tools and Utilities

Calculations

Data

Datasets

Reference Data