GraphicsColor making, 3D graphics. |
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Blind friendly colors. |
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Blind friendly colors. |
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Create a movie by rotating a 3D rgl scene. |
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Mix colors in textual representation. |
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Visualize multidimensional data in 3D and/or multiple 2D projections. |
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Plot a matrix. |
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Convert RGB color to text hexadecimal representation. |
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Link the current device with others to share mouse control using the 'trackball' mode. |
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Exploratory data analysisShadow and correlation matrix, Bland-Altman plot, vertically-aligned histograms, counting NA’s, factor levels, and intersections. |
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Bland-Altman plot. |
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Count the number of factor levels. |
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Cardinality of set intersections. |
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Count NA's in a data frame. |
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Histogram with defaults. |
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Histogram with log counts and defaults. |
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Vertically aligned histograms. |
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Vertically aligned histograms. |
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Sample normality color code. |
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Sample normality estimate flag. |
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Percentual ratio of TRUE cases. |
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Plot decorated bivariate correlations. |
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Plot with defaults. |
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Plot a shadow matrix. |
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Data ManipulationRobust sequences, matrix repetition and conversion, string trimming, factor manipulation. |
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Drop unused levels in a factor. |
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Refine factors in two twin data frames. |
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Repeat matrix. |
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Robust sequence generation resembling the matlab ':' operator. |
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Trim leading and trailing spaces from a string. |
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Conversion to a matrix. |
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Data Transformations |
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Flip an array. |
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Flip a matrix to be passed to |
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Supervised PCA. |
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PCA transform. |
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Supervised PCA transform. |
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Machine Learning ToolsClassification performance measures, factor refinement. |
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Compute performance indicators. |
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Refine factors in two twin data frames. |
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StatisticsRegression calibration and confidence, D’Agostino normality test, p-value manipulation. |
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Variance-inflaction factor. |
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Significance level compensation for multiple comparisons. |
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P-value compensation for multiple comparisons. |
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Critical values for correlation coefficients. |
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D'Agostino normality test. |
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Calibration in regression. |
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Confidence and prediction intervals for regression. |
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Overall linear model significance. |
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Plot confidence and prediction intervals for regression. |
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Plot confidence and prediction intervals for regression. |
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Test of Poisson distribution. |
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p-value text summary. |
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Math toolsCoordinate conversions, logit/expit, scaling, vector algebra. |
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Cartesian to polar coordinate conversion. |
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Cartesian to spherical coordinate conversion. |
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The expit function (the inverse to logit). |
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Lognormal distribution parameter conversion. |
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The logit function. |
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Normalize vector to unit length. |
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Polar to Cartesian coordinate conversion. |
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Scale to unit range. |
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Spherical to Cartesian coordinate conversion. |
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Vector length. |
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3D vector product. |
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Development ToolsShow the memory occupied, build doc, reload packages. |
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Determine implicit class. |
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Reload R package(s). |
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inlinedocs build |
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R object size dump. |
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Data GenerationCreate 2D demo data by mouse clicking. |
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Create 2D data set interactively. |
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Debug PrintingRobust sequences, repeating computing indices in distance matrix, |
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Cat with trailing newline. |
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Print the name and value of a variable. |
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Misc UtilsRobust sequences, string manipulation, indices in distance matrix, |
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Are all values the same? |
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Indices of data frame columns identified by name. |
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Indices into distance matrix. |
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Indices of two samples of given index into distance matrix. |
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Indices of member(s) in vector. |
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Longest common prefix. |
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Longest common postfix. |
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Remove longest common prefix. |
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Remove longest common postfix. |