Function reference • appraiseR

All functions
`allperm()`	Computes all the combinations of the transformed parameters
`alltransf()`	Computes all the chosen transformations to the input data frame in the chosen parameters.
`bboxplot()`	Beautiful boxplots with ggplot2.
`bestfit()`	Best fit models
`bestfitEst()`	Fitter function for bestfit
`brformat()` `brf()`	Wrapper around format
`centre()`	Return the median value or the modal value of a vector, depending on whether the vector is numeric or a factor.
`centro_2015`	Prices of 50 Florianopolis' downtown apartaments
`elasticidade()`	Elasticity calculation function
`equacoes()`	Regression equation
`grau()`	Based on a lm object, returns reasoning degree parameters according to NBR14.653-2.
`iaao_Ratio()`	Standard on Ratio Studies function
`inverse()`	Returns a vector generated with the inverse of the function f
`jungles`	Parametrized optimals costs percentages per period according to Jungles and Avila (2009)
`jurere_2017`	Land division data
`KS()`	Kolgomorov-Smirnov
`loteamento`	Land division data
`MaxsAndMins()`	MaxsAndMins
`new_data()`	Builds `newdata` argument to be used in predict.lm
`outlier_analysis()`	Sample outlier analysis
`parameters()`	Extract object parameters
`amplitude()` `g_precisao()` `campo_arbitrio()` `aval_intervalar()`	Based on a dataframe containing the estimated values, returns amplitude according to NBR14.653-2
`plotdf()`	Plot data frames
`plotFactor()`	export
`plotModel()`	Plot bestfit models
`plotVar()`	Plot model predictors against the response variable with intervals
`porcento()` `pct()`	Write in percentage form
`power()`	Parent Function: Power of a number.
`powerPlot()`	Power plots with ggplot2
`predict(<bestfit>)`	Predict method for bestfit linear models
`Reais()` `reais()`	Wrapper around brformat
`rec()`	Reciprocal (1/x) of a number
`rossheidecke()`	Computes the depreciation parameter according to the Ross-Heidecke method
`rsqr()`	Reciprocal of the square of a number
`rsqrt()`	Reciprocal of the square root of a number
`shrinkPlot()`	Create plots to show prediction shrinkage
`sqr()`	Square of a number
`summary(<bestfit>)`	Summary method for class bestfit
`trindade`	Prices of 15 Florianopolis' apartaments with 2 rooms in Trindade neighbourhood
`update(<bestfit>)`	Update method for bestfit
`zilli_2020`	Prices of 225 Florianopolis' apartaments in 3 neighborhoods

Reference

All functions