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R: Winsorize a vector.
...winsorization (e.g., 0.01 gives 1%) p_high Optional upper level for winsorization (e.g., 0.99 gives 99%) Value vector Examples winsorized <- winsorize(1:100, prob = 0.05) min(winsorized, na.rm = TRUE) ...
/CRAN/refmans/farr/html/winsorize.html
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R: Winsorize or trim variables
winsorize {OOS} R Documentation Winsorize or trim variables Description Winsorize or trim variables Usage winsorize(X, bounds, trim = FALSE) Arguments X numeric: vector to be winsorized or trimmed...
/CRAN/refmans/OOS/html/winsorize.html
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R: Winsorize Data
winsorize {PCRA} R Documentation Winsorize Data Description This function Winsorizes a fraction gamma of a numeric data set. Usage winsorize(x, fraction = 0.1) Arguments x A numeric data set fraction...
/CRAN/refmans/PCRA/html/winsorize.html
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R: Winsorize a Numeric Vector
...winsorize(x, cut) Arguments x A numeric vector to be winsorized. cut The proportion of data to be winsorized from both ends of the distribution. For example, a cut of 0.05 will winsorize the lowest...
/CRAN/refmans/tidyfinance/html/winsorize.html
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R: Winsorize a numeric vector
winsorize {statar} R Documentation Winsorize a numeric vector Description Winsorize a numeric vector Usage winsorize( x, probs = NULL, cutpoints = NULL, replace = c(cutpoints[1], cutpoints[2]), verbose...
/CRAN/refmans/statar/html/winsorize.html
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R: Outliers: Winsorize
winsorize {lares} R Documentation Outliers: Winsorize Description Winsorizing a vector means that a predefined quantum of the smallest and/or the largest values are replaced by less extreme values.
/CRAN/refmans/lares/html/winsorize.html
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R: Winsorizes the data
winsor {rrscale} R Documentation Winsorizes the data Description Winsorizes the data Usage winsor(x, fraction = 0.01) Arguments x the data. fraction the top and bottom quantiles to cap. Examples Y...
/CRAN/refmans/rrscale/html/winsor.html
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R: Winsorize a vector
winsorize {broman} R Documentation Winsorize a vector Description For a numeric vector, move values below and above the q and 1-q quantiles to those quantiles. Usage winsorize(x, q = 0.006)...
/CRAN/refmans/broman/html/winsorize.html
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R: Winsorization of Time Series
ts_fil_winsor {tspredit} R Documentation Winsorization of Time Series Description This code implements the Winsorization technique on a time series. Winsorization is a statistical method used to handle...
/CRAN/refmans/tspredit/html/ts_fil_winsor.html
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R: Winsorize based on the absolute median deviation
...to be winsorized based on the MAD. criteria How many MAD to use as threshold (similar to standard deviations) Details For the easystats equivalent, use: datawizard::winsorize(x, method = "zscore", ...
/CRAN/refmans/rempsyc/html/winsorize_mad.html
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R: Winsorized correlation test (for paired data)
...for association between paired samples, using winsorized correlation coefficient. Usage winsor.cor.test(x, ...) ## Default S3 method: winsor.cor.test(x, y, tr=0.2,alternative = c("two.sided", "less"...
/CRAN/refmans/PairedData/html/winsor.cor.test.html
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R: Winsorize transformation
winsorize {spatialEco} R Documentation Winsorize transformation Description Removes extreme outliers using a winsorization transformation Usage winsorize( x, min.value = NULL, max.value = NULL, p = c...
/CRAN/refmans/spatialEco/html/winsorize.html
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R: Winsorize Numeric Data
winsors {quest} R Documentation Winsorize Numeric Data Description winsors winsorizes numeric data by recoding extreme values as a user identified boundary value, which is defined by z-score units.
/CRAN/refmans/quest/html/winsors.html
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R: Find the Winsorized scores, means, sds or variances for a...
...Winsorized scores. The top and bottom trim values are given values of the trimmed and 1- trimmed quantiles. Then means, sds, and variances are found. Usage winsor(x, trim = 0.2, na.rm = TRUE) winsor...
/CRAN/refmans/psych/html/winsor.html
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R: Winsorize a Numeric Vector
winsor {quest} R Documentation Winsorize a Numeric Vector Description winsor winsorizes a numeric vector by recoding extreme values as a user-identified boundary value, which is defined by z-score...
/CRAN/refmans/quest/html/winsor.html
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R: Winsorize (Replace Extreme Values by Less Extreme Ones)
Winsorize {DescTools} R Documentation Winsorize (Replace Extreme Values by Less Extreme Ones) Description Winsorizing a vector means that a predefined quantum of the smallest and/or the largest values...
/CRAN/refmans/DescTools/html/Winsorize.html
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R: Winsorize data
winsorize {datawizard} R Documentation Winsorize data Description Winsorize data Usage winsorize(data, ...) ## S3 method for class 'numeric' winsorize( data, threshold = 0.2, method = "percentile"...
/CRAN/refmans/datawizard/html/winsorize.html
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R: Weighted Winsorized Mean and Total (bare-bone functions)
...Weighted Winsorized Mean and Total (bare-bone functions) Description Weighted winsorized mean and total (bare-bone functions with limited functionality; see svymean_winsorized and svytotal_winsorized...
/CRAN/refmans/robsurvey/html/weighted_mean_winsorized.html
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R: Winsorized binning
...Winsorized binning Description Bin continuous data using winsorized method. Usage rbin_winsorize( data = NULL, response = NULL, predictor = NULL, bins = 10, include_na = TRUE, winsor_rate = 0.05...
/CRAN/refmans/rbin/html/rbin_winsorize.html
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R: Weighted Winsorized Mean and Total
...Winsorized Mean and Total Description Weighted winsorized mean and total Usage svymean_winsorized(x, design, LB = 0.05, UB = 1 - LB, na.rm = FALSE, trim_var = FALSE) svymean_k_winsorized(x, design, k...
/CRAN/refmans/robsurvey/html/svymean_winsorized.html
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R: Data cleaning by winsorization
...winsorization, i.e., by shrinking outlying observations to the border of the main part of the data. Usage winsorize(x, ...) ## Default S3 method: winsorize( x, standardized = FALSE, centerFun = median...
/CRAN/refmans/robustHD/html/winsorize.html
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R: Winsorize data
...to be Winsorized in each tail of an ordered dataset. Details In Winsorization we we replace responses that are not in the central 1 - 2\lambda part of an ordered sample with the minimum and maximum...
/CRAN/refmans/asbio/html/win.html
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R: Winsorized variance
win_var {robnptests} R Documentation Winsorized variance Description win_var calculates the winsorized variance of a sample. Usage win_var(x, gamma = 0, na.rm = FALSE) Arguments x a (non-empty) numeric...
/CRAN/refmans/robnptests/html/win_var.html
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R: Winsorize at specified percentiles
winsorizor {JWileymisc} R Documentation Winsorize at specified percentiles Description Simple function winsorizes data at the specified percentile. Usage winsorizor(d, percentile, values, na.rm = TRUE)...
/CRAN/refmans/JWileymisc/html/winsorizor.html
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R: Winsorized Mean
winsorMean {PCRA} R Documentation Winsorized Mean Description Winsorized Mean Usage winsorMean(x, winFrac = 0, na.rm = FALSE, ...) Arguments x Numeric vector winFrac Fraction of data to be Winsorized...
/CRAN/refmans/PCRA/html/winsorMean.html
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R: Winsorized mean
win_mean {robnptests} R Documentation Winsorized mean Description win_mean calculates the winsorized mean of a sample. Usage win_mean(x, gamma = 0.2, na.rm = FALSE) Arguments x a (non-empty) numeric...
/CRAN/refmans/robnptests/html/win_mean.html
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R: Robust correlation based on winsorization
...based on winsorization Description Compute a robust correlation estimate based on winsorization, i.e., by shrinking outlying observations to the border of the main part of the data. Usage corHuber( x...
/CRAN/refmans/robustHD/html/corHuber.html
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R: Winsorize outliers based on z-score cutoff to next most...
winsorZ {scipub} R Documentation Winsorize outliers based on z-score cutoff to next most extreme non-outlier value Description The winsorZ function identifies outliers based on Z-score cutoff...
/CRAN/refmans/scipub/html/winsorZ.html
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R: Winsorization followed by imputation
...Winsorization of outliers according to the Mahalanobis distance followed by an imputation under the multivariate normal model. Only the outliers are winsorized. The Mahalanobis distance MDmiss allows...
/CRAN/refmans/modi/html/Winsimp.html
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R: Winsorize
...{transx} R Documentation Winsorize Description Replace extremely values that are defined by min and max. Usage out_winsorise(x, min = quantile(x, 0.05), max = quantile(x, 0.95)) out_winsorize(x, min...
/CRAN/refmans/transx/html/out_winsorise.html
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R: Detection and winsorization of multivariate outliers
...winsorization of multivariate outliers Description Imputation and detection of outliers Usage mvTopCoding(x, maha = NULL, center = NULL, cov = NULL, alpha = 0.025) Arguments x an object coercible to...
/CRAN/refmans/sdcMicro/html/mvTopCoding.html
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R: Winsorized Mean Forecast Combination
...Winsorized Mean Forecast Combination Description Computes a ‘combined forecast’ from a pool of individual model forecasts using winsorized mean at each point in time. Usage comb_WA(x, trim_factor...
/CRAN/refmans/ForecastComb/html/comb_WA.html
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R: Winsorized Mean Forecast Combination
...Winsorized Mean Forecast Combination Description Computes a ‘combined forecast’ from a pool of individual model forecasts using winsorized mean at each point in time. Usage comb_WA(x, trim_factor...
/CRAN/refmans/GeomComb/html/comb_WA.html
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R: Expectation and Variance of Log Winsorized _F_ Distribution
...and Variance of Log Winsorized F Distribution Description mean_var_logwinf calculates the expectation and variance of a log Winsorized F distribution by appealing to methods for numerical integration.
/CRAN/refmans/MAnorm2/html/mean_var_logwinf.html
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R: Identify outliers based on z-score cutoff that are Winsorized...
...cutoff that are Winsorized by the winsorZ function Description The winsorZ_find function is an optional companion to the winsorZ function. The winsorZ function identifies Z-score outliers and replaces...
/CRAN/refmans/scipub/html/winsorZ_find.html
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R: Sets the ncol(mat)*trim top outliers in each row to the next...
...each row to the next lowest value same for the lowest outliers Usage winsorize.matrix(mat, trim) Arguments mat Numeric matrix trim numeric Fraction of outliers (on each side) that should be Winsorized...
/CRAN/refmans/pagoda2/html/winsorize.matrix.html
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R: Trim (Winsorize) Large Weights
...Trim (Winsorize) Large Weights Description Trims (i.e., winsorizes) large weights by setting all weights higher than that at a given quantile to the weight at the quantile or to 0. This can be useful...
/CRAN/refmans/WeightIt/html/trim.html
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R: qqnormDatWindat
...Normal QQPlot of data and Winsorized data Usage qqnormDatWindat( dat, windat, fraction = 0.01, ylim = NULL, main = main, facName = NULL ) Arguments dat Numeric data vector windat Numeric Winsorized...
/CRAN/refmans/PCRA/html/qqnormDatWindat.html
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R: Function post_bmr
...draw. weights_bmr An object of class 'tweights_bmr' created using the 'tweights_bmr' function. Value A matrix of simulations from the posterior. See Also tweights_bmr Examples #Use winsorized marginal...
/CRAN/refmans/tboot/html/post_bmr.html
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R: Prepare distance scores on data in preparation for composite...
...winsorize = 0, values, better = TRUE, covmat, standardize = TRUE, use.prethreshold = FALSE ) Arguments object An object of class ‘CompositeData’. winsorize Whether to winsorize the data or not.
/CRAN/refmans/pscore/html/prepareComposite.html
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R: A linear Model-based Permutation Test for Differential...
...Differential Abundance Analysis of Microbiome Data and Other Omics Data Description ZicoSeq is a permutation test (Smith permutation) for differential abundance analysis of microbiome sequencing data.
/CRAN/refmans/GUniFrac/html/ZicoSeq.html
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R: Robust location measures and their standard errors (se).
...winmean for the Winsorized mean, winse for its se, trimse for the trimmend mean se, msmedse for the median se, mest for the M-estimator with se in mestse. The functions onestep and mom compute the...
/CRAN/refmans/WRS2/html/trimse.html
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R: Function to compare evzinb or evinb models with zinb and nb...
...to compare evzinb or evinb models with zinb and nb models Usage compare_models( object, nb_comparison = TRUE, zinb_comparison = TRUE, winsorize = FALSE, razorize = FALSE, cutoff_value = 10, init_theta...
/CRAN/refmans/evinf/html/compare_models.html
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R: Function tboot_bmr
...Bootstrap nrow rows of dataset using the given row-level weights. Usage tboot_bmr(nrow, weights_bmr, tol_rel_sd = 0.01) Arguments nrow Number of rows in the new bootstrapped dataset. weights_bmr An...
/CRAN/refmans/tboot/html/tboot_bmr.html
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R: Wrapper Functions for terms in gpe
.../0.4) eTerm(x, scale = 1/0.4) Arguments x Input symbol. lb Lower quantile when winsorizing. -Inf yields no winsorizing in the lower tail. ub Lower quantile when winsorizing. Inf yields no winsorizing...
/CRAN/refmans/pre/html/rTerm.html
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R: Transform tails of distribution
...Arguments f A pdqr-function. level Cutoff level. For direction "both" should be between 0 and 0.5; for "left" and "right" - between 0 and 1. method Modification method. One of "trim" or "winsor".
/CRAN/refmans/pdqr/html/form_tails.html
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R: Truncate a vector.
...winsorized prob Level (two-sided) for winsorization (e.g., 0.01 gives 1% and 99%) p_low Optional lower level for winsorization (e.g., 0.01 gives 1%) p_high Optional upper level for winsorization (e.g...
/CRAN/refmans/farr/html/truncate.html
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R: Upper limit of the penalty parameter for 'family="binomial"'
...bivariate winsorization to estimate the smallest value of the upper limit for the penalty parameter. Usage lambda00(x,y,normalize=TRUE,intercept=TRUE,const=2,prob=0.95, tol=.Machine$double.eps^0.5,eps...
/CRAN/refmans/enetLTS/html/lambda00.html
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R: Welch's Heteroscedastic F Test and Welch's Heteroscedastic F...
...Winsorized Variances Description welch.test performs Welch's heteroscedastic F test and Welch's heteroscedastic F test with trimmed means and Winsorized variances. Usage welch.test(formula, data, rate...
/CRAN/refmans/onewaytests/html/welch.test.html
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R: Penalty parameter for sparse LTS regression
...Use bivariate winsorization to estimate the smallest value of the penalty parameter for sparse least trimmed squares regression that sets all coefficients to zero. Usage lambda0( x, y, normalize...
/CRAN/refmans/robustHD/html/lambda0.html
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R: Robust Survey Statistics Estimation
...NEWS. Help Pages robsurvey-package Package Overview class_svyreg_rob Utility Functions for Objects of Class svyreg_rob class_svystat_rob Utility Functions for Objects of Class svystat_rob coef.medline...
/CRAN/refmans/robsurvey/html/00Index.html
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R: Function tweights_bmr
...(dataset, marginal, distance = "klqp", maxit = 1000, tol = 1e-08, warningcut = 0.05, silent = FALSE, Nindependent = 1) Arguments dataset Data frame or matrix to use to find row weights. marginal Must...
/CRAN/refmans/tboot/html/tweights_bmr.html
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R: colorPicker module server logic
...Provides server logic for the colorPicker2 module. Usage colorPicker( input, output, session, num.colors = 256, distribution = "all", winsorize = NULL, selected = NULL ) Arguments input Shiny's input...
/CRAN/refmans/wilson/html/colorPicker.html
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R: An S4 class to represent composite ready data
...deviation of each variable standardize A logical value whether standardization was applied distances A data frame of the distance scores distanceDensity A ggplot2 density graph winsorizedValues...
/CRAN/refmans/pscore/html/CompositeReady-class.html
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R: Paired Data Analysis
...Blink data from Preece (1982, Table 2) Blink2 Blink data (2nd example) from Preece (1982, Table 3) BloodLead Blood lead levels data from Pruzek & Helmreich (2009) bonettseier.Var.test Bonett-Seier...
/CRAN/refmans/PairedData/html/00Index.html
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R: Collapse graph using PAGA 1.2 algorithm, Wolf et al 2019,...
...1.2 algorithm, Wolf et al 2019, Genome Biology (2019) <https://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1663-x> Usage collapseGraphPaga(graph, groups, linearize = TRUE, winsorize...
/CRAN/refmans/sccore/html/collapseGraphPaga.html
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R: (Robust) least angle regression for time series data
...(Robustly) sequence groups of candidate predictors and their respective lagged values according to their predictive content and find the optimal model along the sequence. Note that lagged values of...
/CRAN/refmans/robustHD/html/tslars.html
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R: Main function to produce a heatmap using PAM clustering.
...more PDFs with the plots. Usage PAM.hm( x, project.folder = ".", nsheets = 1, dec = ".", header = TRUE, symbolcol = 1, sample.names = NULL, cluster.number = 4, trim = NULL, winsorize.mat = TRUE, cols = ...
/CRAN/refmans/PAMhm/html/PAM.hm.html
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R: GPS locations of three species of whales.
...long logitude location.lat latitude individual.local.identifier identifier for each individual ... Details Irvine LM, Winsor MH, Follett TM, Mate BR, Palacios DM (2020) An at-sea assessment of Argos...
/CRAN/refmans/anipaths/html/whales.html
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R: Change support of pdqr-function
...elements describing support of the output. Values can be NA, in which case corresponding edge(s) are taken from f's support. method Resupport method. One of "reflect", "trim", "winsor", "linear".
/CRAN/refmans/pdqr/html/form_resupport.html
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R: Robust least angle regression
...y, sMax = NA, centerFun = median, scaleFun = mad, winsorize = FALSE, const = 2, prob = 0.95, fit = TRUE, s = c(0, sMax), regFun = lmrob, regArgs = list(), crit = c("BIC", "PE"), splits = foldControl(), ...
/CRAN/refmans/robustHD/html/rlars.html
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R: Bootstrapped correlation coefficients
...sided", "less", "greater", "equivalence", "minimal.effect"), method = c("pearson", "kendall", "spearman", "winsorized", "bendpercent"), alpha = 0.05, null = 0, boot_ci = c("basic", "perc"), R = 1999, ...
/CRAN/refmans/TOSTER/html/boot_cor_test.html
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R: Tools Inspired by 'Stata' to Manipulate Tabular Data
...statar-package A package for applied research as.monthly Elapsed dates (monthly, quarterly) as.quarterly Elapsed dates (monthly, quarterly) elapsed Elapsed dates (monthly, quarterly) fill_gap Add rows...
/CRAN/refmans/statar/html/00Index.html
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R: Robust Descriptives
...Descriptives Usage rdesc( data, vars, splitBy = NULL, mean = TRUE, trim = TRUE, tr = 0.2, win = FALSE, wl = 0.2, mest = FALSE, bend = 1.28, med = FALSE ) Arguments data the data as a data frame vars...
/CRAN/refmans/walrus/html/rdesc.html
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R: Fluctuation Analysis parametric estimation
...mutestim(mc, fn = NULL, mfn = NULL, cvfn = NULL, fitness = NULL, death = 0., plateff = 1., model = c("LD", "H", "I"), muinf = +Inf, method = c("ML", "GF", "P0"), winsor = 2000) Arguments mc a (non-...
/CRAN/refmans/flan/html/mutestim.html
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R: (Robust) least angle regression for time series data with...
...(Robustly) sequence groups of candidate predictors and their respective lagged values according to their predictive content and find the optimal model along the sequence. Note that lagged values of...
/CRAN/refmans/robustHD/html/tslarsP.html
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R: Diverse statistics cell function
...Diverse statistics cell function Description Calculating values of several descriptive statistics. Usage stat_cell(x, y, z, w, cell_ids, row_ids, col_ids, vnames, vars, n_min, digits = 3, digits2=1)...
/CRAN/refmans/etable/html/stat_cell.html
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R: Linear (Lin) Model for Differential Abundance (DA) Analysis...
...and highly scalable approach to tackle the compositional effects in differential abundance analysis of high-dimensional compositional data. It fits linear regression models on the centered log2-ratio...
/CRAN/refmans/MicrobiomeStat/html/linda.html
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R: Confidence intervals for two-sided tests on correlation...
...correlation coefficient (percentage bend correlation or Winsorized correlation). Usage twopcor(x1, y1, x2, y2, nboot = 599, ...) twocor(x1, y1, x2, y2, corfun = "pbcor", nboot = 599, tr = 0.2, beta...
/CRAN/refmans/WRS2/html/twocor.html
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R: Weighting for Covariate Balance in Observational Studies
...manually as.weightit.weightit.fit Create a 'weightit' object manually as.weightitMSM Create a 'weightit' object manually as.weightitMSM.default Create a 'weightit' object manually calibrate Calibrate ...
/CRAN/refmans/WeightIt/html/00Index.html
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R: Computation of Robust Local Covariance Matrices
...generalized local sign covariance matrices for a random field based on a given set of spatial kernel matrices. Usage local_gss_covariance_matrix(x, kernel_list, lcov = c('norm', 'winsor', 'qwinsor')...
/CRAN/refmans/SpatialBSS/html/local_gss_covariance_matrix.html
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R: Robust correlation coefficients.
...coefficient, wincor the Winsorized correlation, pball the percentage bend correlation matrix, winall the Winsorized correlation matrix. Usage pbcor(x, y = NULL, beta = 0.2, ci = FALSE, nboot = 500...
/CRAN/refmans/WRS2/html/pbcor.html
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R: Companion to Portfolio Construction and Risk Analysis
...Efficient Frontiers chart.Efront Create Efficient Frontier cleanOutliers Clean Returns Outliers crsp.returns8 crsp.returns8 datFF3W Fama-French Weekly 3-Factor Model datFF4W Fama-French-Carhart Weekly...
/CRAN/refmans/PCRA/html/00Index.html
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R: Robust Methods for High-Dimensional Data
...NEWS. Help Pages A B C D F G L N P R S T W robustHD-package Robust Methods for High-Dimensional Data -- A -- AIC.seqModel Information criteria for a sequence of regression models AIC.sparseLTS...
/CRAN/refmans/robustHD/html/00Index.html
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R: compute average run length (ARL) for CUSUM charts
...charts based on the Markov chain algorithm. Usage getARL(distr=NULL, K=NULL, H=NULL, Mean=NULL, std=NULL, prob=NULL, Var=NULL, mu=NULL, lambda=NULL, samp.size=NULL, is.upward=NULL, winsrl=NULL, winsru...
/CRAN/refmans/CUSUMdesign/html/getARL.html
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R: Summarize Data for Scientific Publication
...Pages apastat Format simple statistic test results for scientific publication correltable Create correlation table (with stars for significance) for scientific publication FullTable1 Create Table1 of...
/CRAN/refmans/scipub/html/00Index.html
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R: Tools for Binning Data
...rbin_factor Factor binning plot.rbin_manual Manual binning plot.rbin_quantiles Quantile binning plot.rbin_winsorize Winsorized binning rbin 'rbin' package rbinAddin Bin continuous data rbinFactorAddin...
/CRAN/refmans/rbin/html/00Index.html
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R: Clean outliers
...and is called internally by forecast_univariate, forecast_multivariate, and forecast_combine. Usage data_outliers( Data, variables = NULL, w.bounds = c(0.05, 0.95), trim = FALSE, cross_section = FALSE...
/CRAN/refmans/OOS/html/data_outliers.html
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R: snap
...to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature...
/CRAN/refmans/snap/html/snap.html
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R: compute decision interval (H) for CUSUM charts
...for CUSUM charts. Usage getH(distr=NULL, ARL=NULL, ICmean=NULL, ICsd=NULL, OOCmean=NULL, OOCsd=NULL, ICprob=NULL, OOCprob=NULL, ICvar=NULL, IClambda=NULL, samp.size=NULL, ref=NULL, winsrl=NULL, winsru...
/CRAN/refmans/CUSUMdesign/html/getH.html
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R: The Parameter Estimation Framework of HyperChIP
...ratio factor) by following the framework designed in HyperChIP. Usage estParamHyperChIP( cond, occupy.only = TRUE, prob = 0.1, subset = NULL, p_low = 0.01, p_up = 0.1, return.d0 = FALSE, .call = TRUE, ...
/CRAN/refmans/MAnorm2/html/estParamHyperChIP.html
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R: Out-of-Sample Time Series Forecasting
Help Pages chart_forecast Chart forecasts chart_forecast_error Chart forecast errors data_impute Impute missing values data_outliers Clean outliers data_reduction Dimension reduction via principal...
/CRAN/refmans/OOS/html/00Index.html
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R: Robust Re-Scaling to Better Recover Latent Effects in Data
Help Pages asinh Arc-hyperbolic-sine transformation box_cox Traditional box-cox power transformation. Accepts one real parameter box_cox_exp Exponential of the tranditional box-cox transformation...
/CRAN/refmans/rrscale/html/00Index.html
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R: Robust Nonparametric Two-Sample Tests for Location/Scale
...hl2_test Two-sample location tests based on two-sample Hodges-Lehmann estimator. hodges_lehmann One-sample Hodges-Lehmann estimator hodges_lehmann_2sample Two-sample Hodges-Lehmann estimator med_test...
/CRAN/refmans/robnptests/html/00Index.html
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R: One-Way Tests for Independent Groups Designs
...onewaytests(formula, data, method = c("aov", "af", "ag", "agp", "ap", "aw", "b2", "bf", "box", "cochran", "gtb", "gtf", "james", "johansen", "kw", "mbf", "pf", "ss", "wa", "welch", "welch_tw", "wgf")...
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R: Tidy Finance Helper Functions
...create_summary_statistics Create Summary Statistics for Specified Variables create_wrds_dummy_database Create WRDS Dummy Database disconnection_connection Disconnect Database Connection download_data ...
/CRAN/refmans/tidyfinance/html/00Index.html
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R: A Plot Function for Visualizing the ZicoSeq Results
...ZicoSeq.plot produces volcano plots with the y-axis being the log10 (adjusted) p-value and the x-axis being the signed R^2^ with the sign indicating the association direction determined based on the...
/CRAN/refmans/GUniFrac/html/ZicoSeq.plot.html
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R: p2ViewPagodaApp R6 class
...p2ViewPagodaApp R6 class Description Modified 'PAGODA1' app (from 'SCDE') for browsing 'pagoda2' results. Refer to 'ViewPagodaAppOld' and 'make.pagoda.app()' in 'SCDE' Public fields results Result...
/CRAN/refmans/pagoda2/html/p2ViewPagodaApp.html
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R: Re-scale a data matrix
...focus further analyses on consequential variance in the data rather than having it be focused on variation resulting from the feature's measurement scale or outliers. Usage rrscale( Y, trans_list...
/CRAN/refmans/rrscale/html/rrscale.html
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R: Method for heatmap creation
...column.custom.label = NULL, clustering = "none", clustdist = "auto", clustmethod = "auto", colors = NULL, winsorize.colors = NULL, plot.method = "static", width = "auto", height = "auto", ppi = 72...
/CRAN/refmans/wilson/html/create_heatmap.html
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R: Robust Methods for High-Dimensional Data
...(Khan, Van Aelst & Zamar, 2007; <doi:10.1198/016214507000000950>), (robust) groupwise least angle regression (Alfons, Croux & Gelper, 2016; <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed ...
/CRAN/refmans/robustHD/html/robustHD-package.html
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R: Correlation test
..."medium", bayesian_ci_method = "hdi", bayesian_test = c("pd", "rope", "bf"), include_factors = FALSE, partial = FALSE, partial_bayesian = FALSE, multilevel = FALSE, ranktransform = FALSE, winsorize...
/CRAN/refmans/correlation/html/cor_test.html
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R: Scale a Mean-Variance Curve in a Robust Manner
...curves) in a robust manner. Usage scaleMeanVarCurveRobust( z, m, d0, p_low = 0.01, p_up = 0.1, nw = gauss.quad(128, kind = "legendre") ) Arguments z A list of which each element is a vector of FZ...
/CRAN/refmans/MAnorm2/html/scaleMeanVarCurveRobust.html
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R: Transform Univariate Time Series
...series demedian Removes measure of centrality from the series demode Removes measure of centrality from the series diffx Compute lagged differnces diffx-rdiffx-ldiffx Compute lagged differnces dtrend...
/CRAN/refmans/transx/html/00Index.html
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R: Estimating the regression coefficients in NPNGMs with lasso
...regression coefficents in NPNGMs for constructing the test statistic. The regression is based on a truncated (Winsorized) estimator for the transformation functions in NPNGMs. Usage lassoNPN(Data_mat)...
/CRAN/refmans/DNetFinder/html/lassoNPN.html
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R: MI-aware Modifed eBayes Function
...eBayes.mod( fit, VarRubin, proportion = 0.01, stdev.coef.lim = c(0.1, 4), trend = FALSE, robust = FALSE, winsor.tail.p = c(0.05, 0.1) ) Arguments fit an MArrayLM fitted model object produced by lmFit...
/CRAN/refmans/mi4p/html/eBayes.mod.html
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R: MI-aware Modifed eBayes Function
...limma package Usage hid.ebayes( fit, VarRubin, mod = TRUE, proportion = 0.01, stdev.coef.lim = c(0.1, 4), trend = FALSE, robust = FALSE, winsor.tail.p = c(0.05, 0.1) ) Arguments fit an MArrayLM fitted...
/CRAN/refmans/mi4p/html/hid.ebayes.html
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R: An constructor function for the S4 CompositeReady class
...class Usage CompositeReady( data, covmat, sigma, standardize, use.prethreshold, distances, distanceDensity, winsorizedValues, better, rawdata, groups, thresholds, higherisbetter, k, rawtrans...
/CRAN/refmans/pscore/html/CompositeReady.html
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R: Forecast with forecast combinations
...(winsorized) mean, n-best, ridge regression, lasso regression, elastic net, peLASSO, random forest, tree-based gradient boosting machine, and single-layer neural network. See package website for most...
/CRAN/refmans/OOS/html/forecast_combine.html
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R: Comparing Correlations between independent studies with...
boot_compare_cor {TOSTER} R Documentation Comparing Correlations between independent studies with bootstrapping Description A function to compare standardized mean differences (SMDs) between studies.
/CRAN/refmans/TOSTER/html/boot_compare_cor.html
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