| NEWS | R Documentation |
BoxPlot(), Histogram(): Recent message from outlier check from package robustbase removed
Logit(): Confusion matrix now displayed even if all predictions are for a single outcome category
pivot(): If not specified, output defaults to 3 decimal digits, otherwise displays the needed number of decimal digits to avoid rounding to 0.000
pivot(): For consistency, parameter n_show_group changed to n_group_show
Plot(): New parameter n_bins > 1 indicates to bin the numeric x-variable and plot the mean or median of the numeric y-variable for each bin, with each point size dependent on the corresponding bin sample size
Plot(): More stats displayed regarding each panel when doing a fit line
Read(): Browsing for data file in RStudio, message about hidden window removed
pivot(): If na_remove is FALSE, the missing data value for the aggregated statistic was reported as 0 instead of NA
Plot(): y-axis label now evaluated on all axis values instead of only the maximum value, which, if 1.0, rounds to 1, only a single digit
Plot(): segments=TRUE now applies to all scatter plots, not just with by=
interact(): Each interactive display now shows the underlying function call
Plot(): If x is equally spaced, a line chart not default if a fit line
Plot(): Parameter sqrt deprecated for quat
Plot(): Parameter root deprecated for power
Plot(): fit_color parameter added to set directly, not just with style() function
Plot(): When curve fitting with fit parameter, b0 and b1 given for the linearized line from nonlinear functions
Prop_test(): If the hypothesis test of a proportion is one-sided, the alternative hypothesis is now provided
Histogram(): density=TRUE properly generates console output
Plot(): For fit parameter, "reciprocal" option removed as better covered with "exp" which also does exponential decay in place of "reciprocal" if no by variable
Plot(): fit_color now works for a fit line
Prop_test(): parameters such as alternative properly passed to R functions binom.test(), prop.test(), and chisq.test()
ttest(): One-tailed alternatives less and greater options work
ANOVA(): One-way, scatterplot labels separated more from plot
Histogram(): Summary stats headings adjusted to better align with numerical values
Prop_test(): Parameter p0 changed to pi for consistency with ttest(), p0 still works
reshape_long(): Default name of Response changed from "Value" to "Response"
style(): Slightly lighten grayscale bars and points from "gray35" to "gray42" and point fill and color from "gray30" to "gray42"
train_test(): New function to either create training and testing data from a data frame with x and y combined or separated
Plot(): a --run-donttest test example was improperly configured, now works
Plot(): Plotting a vector for x or y with fit now works
ANOVA(): Interaction plot for 2-way factorial reflects color theme
BarChart(): Appropriate error message if by and by1 parameters both specified as only one for one function call is allowed
BarChart(): Bar chart from a pivot table for two vars now possible with NA column
data set: dataAnova_rbf data set for randomized block factorial ANOVA added
data set: dataAnova_sp data set for split-plot design ANOVA added
interact(): More colors added
interact(): Trellis plot has added violin_fill and box_fill parameters
pivot(): by variables except for Date variables by default now converted to factors, though controlled with parameter: factors
reshape_long(): If needed, an ID variable is now provided by default
reshape_long(): Generated ID variable now has a prefix in front of the integer ID by default, can be changed with the parameter: prefix
reshape_long(): sep parameter specifies a separator between the prefix and the ID integer output data frame has ID variable listed first
Transform(): Previously deprecated, its abbreviation trans() now removed
details(): Now properly reports details of a tibble version of a data frame
interact(): Histogram() fill now set properly
Plot(): Panels in Trellis plots with no data now properly display as blank with grid lines instead of showing an error message
Plot(): Interaction plot with segments=TRUE of a pivot table now has all segments
Plot(): Can now plot one continuous variable with violin/box/scatter plots with by, by1, and by2 parameters
Plot(): Bubble plot transparency option now works with parameter trans
Plot(): Bubble plot fill and color now properly specified
ANOVA(): ANOVA 2-way factorial analysis provides Type II sum of squares for unbalanced designs
ANOVA(): R-squared and related indices now reported to three decimal digits
ANOVA(): Plotted point in interaction plot a little smaller
ANOVA(): Scatterplot title removed for more room for the plot, labels adjusted
ANOVA(): Scatterplot moved to the first plot displayed
BarChart(): Right-margin legend for two variable chart no longer defaults to abbreviations for title and values, use legend_abbrev to specify
Histogram(): Bars slightly more gray and slightly less blue
Plot(): For by and fit parameters together, equation, MSE, and R2 given for each fit line
Regression(): Analysis of covariance with one categorical variable and one continuous variable displays the ...
1. regression line and equation for each level of the categorical variable superimposed over the scatterplot
2. Type II SS for the ANOVA table
3. test of the interaction of the covariate with the grouping variable
Regression(): n_cat parameter added to allow integer variables to be treated as categorical without declaring as a formal R factor
Regression(): kfold parameter now applies to models with categorical variables with dummy variables created automatically
Regression(): Extra line of spacing between major sections of output
Regression(): Grid lines added to scatterplot
Regression(): title removed from scatterplot, remains in text console output
Regression(): Parameter best_sub provides the value "Cp" for Mallow's "Cp" statistic in addition to the default value "adjr2" for adjusted R-squared
rename(): New utility function for renaming a variable in the specified data frame
ANOVA(): Interaction plot for 2-way factorial generalizes better beyond two levels brief output works more reliably for 2-way factorial
Regression(): scale_response parameter now works, applicable when new_scale is implemented, FALSE by default but if TRUE then the response variable y is also rescaled
ANOVA(): Better calculation of size of left-margin for pairwise mean differences plot
Logit(): For a single predictor, for a given probability classification
threshold, the x-cutoff value now provided
Logit(): For a single predictor, annotations added to the sigmoid curve
Logit(): ref parameter for designating the value of the response variable that is the reference group instead of relying upon defaults
Logit(): Rows in the classification table reversed to correspond to sigmoid curve plot
pivot(): For consistency with other na parameters, show_group_na parameter changed to na_show_group
Plot(): Boxplot median line width increased to 2 for better visibility in the presence of an embedded scatterplot
Logit(): Bug fixed that occurred for 50% of the analyses when the response variable has integer input values of 0,1 instead of a factor such as Man/Woman
Logit(): Fitted values now properly displayed when X1_new, etc. specified
Logit(): Edge condition that crashed with very little variance among fitted probabilities now fixed
Plot(): by1 parameter now works when x is categorical
Regression(): Table of estimates now properly displayed for indicator variables with large number of characters for the variable names
BarChart(): digits_d parameter added for text output to control number of decimal digits for two categorical variable output
BarChart(): Default gray fill color for the bars lightened slightly
data():
dataStockPrice updated to Jan 1, 2022
dataEmployee_lbl updated
dataWeightLoss data file added
dataAnova_1way data file added
dataAnova_rb data file added
dataAnova_2way data file added
factors(): Now processes tidyverse tibble version of a data frame
Help(): Deprecated, now removed, replaced by vignettes
interact(): When prompting for valid names by passing no arguments, no longer displays an error message
interact(): More colors added to choice of fill colors for interactive displays
Logit(): For a single predictor variable, if the response y is non-numeric, then the value set at 1 has the highest mean, for a positive difference
Logit(): For a single predictor variable, logistic curve better labeled
Nest(): If response variable is a character variable, automatically converted to a factor to allow to run without an error
Plot(): For Trellis plots, default changed to a single column (n_col=1)
Read(): If specified a lessR data file improperly, the list of valid data files is displayed
Read(): Read data files in the Open Document Spreadsheet format, .ods
Read(): New parameter row_names for consistent interface across the various file formats, for cs files R row.names still works
Read(): Report of variables with all unique values moved to brief report
Regression(): If x is a factor with two levels, the regression line is plotted in the scatterplot
Regression(): Scatterplot can now have customized axis labels size, set by style()
reshape_long(): New function that is a simple wrapper for Base R reshape() with sensible parameter names and sensible defaults, and allow for variable ranges of columns to transfer from wide to long
reshape_wide(): New function that is a simple wrapper for Base R reshape() with sensible parameter names to convert a long-form data frame to a wide-form
Write(): Parameters – data and to – switched to a more natural order with data now the first parameter: Write(data=, to=, ...)
Write(): Write data frames in the Open Document Spreadsheet format, .ods, with format="ODS"
Write(): Write data frames in the SPSS format, .sav, with format="SPSS"
ANOVA(): Family-wise confidence level now reported in output
BarChart(): Formatting so that columns do not run together for some output with integers represented as integers instead of double
BarChart(): Specifying one_plot=TRUE and multiple variables now works
BarChart(): Custom ylab now works when the stat parameter is activated
Histogram(): For density=TRUE, quiet=TRUE now works
Logit(): If many variables, such as from created dummy variables, columns of estimated coefficients now align correctly
PieChart(): Text now responds to corresponding style parameters: lab_cex, main_cex=1.5, and values_size
Plot(): If a by or by1 variable, misleading warning message sort order deleted
ANOVA(), BarChart(), Histogram(), pivot(), Plot(), Regression(), ttest(): Informative error message added if a subset with the rows parameter returns no rows to subset
getColors(): Little more differentiation between default sequential colors by lightening a bit more the lightest color
Histogram(): Output objects n.bins and n.miss updated to n_bins and n_miss
Histogram(): density=TRUE output provides more summary statistics and suggestions
Plot(): When specifying a fit line with a by categorical variable the sum of squared errors for each category are better labeled
Plot(): For a by categorical variable, no longer is the correlational analysis done for all the data, but the SSE is reported for each group
Plot(): Pairwise correlation output takes up fewer lines
Plot(): Variable labels for y-axis made a little longer and still fit without breaking into an additional line
Plot(): Some suggestions now change depending on random "coin flip"
Plot(): Trellis plot default changed from n_col=1 to n_row=1
Regression(): Standard deviation of response variable added to fit information, other stats removed
Regression(): Parameter fit_line width set at 1.5 if plotting w/o outlier line also and no standard error region for original line
to(): Parameter same.size updated to same_size, old value still works
BarChart(): For theme other than "hues", fill colors the same by default unless an ordered factor, then a sequential palette
Correlation(): Pairwise correlation analysis properly returns lower and upper bounds of confidence interval about the sample correlation coefficient
Correlation(): Pairwise correlation when called from Correlation() function works
PieChart(): Default colors with default color theme, "colors", now has qualitative color palette "hues", the same as bar chart, for a non-ordinal categorical variable
PieChart(): Inner circle that creates the hole now with higher resolution so as to make a smoother circle
PieChart(): Better placement of the plot title if there is one
ANOVA(): Randomized blocks fitted means visualizations enhanced
ANOVA(): rb_points parameter removed
Histogram(): For grayscale with a black background, histogram bars have no transparency and are lighter
interact(): "PieChart" option added for interactive, Shiny display
Logit(): Grid lines added to logit plot for a single predictor transparency of 0.7 added to the points in the logit plot
pivot(): If n=0 for an output row or column, then converting to proportions returns 0's instead of NaN's
pivot(): New parameter show_group_na with default of TRUE that will list NA for missing data of a grouping variable as a level on the output
PieChart(): Labels proper size outside of RStudio
Plot(): plot_errors now plots the connecting segments from each point to the fitted line with gray if style("gray")
Plot(): Parameter size for size of points now applies to a scatterplot matrix
Plot(): fill color for points and bubbles lightened slightly for gray scale
Plot(): Trellis line plots increase slightly the width of the lines
recode(): Transformed variables converted to be consistent with their type ex: convert a character variable to integer, but before was still character
Regression(): For parameter new_scale, new option is "centered"
Regression(): For all rescaling, now default is only predictor numeric variables and only for numerical variables with more than two values
Regression(): If rescaling, set new parameter rescale_response to TRUE to also rescale the response variable
Regression(): For model fit, standard deviation and min and max of the target variable displayed along with the 95
Regression(): Fitted vs residuals plot more efficiently sized and largest Cooks Distance value displayed as a sub-title
Regression(): Summary stats of response variable added to Basic Analysis
Sort(): Feedback includes names of sorted variables in place of their index
ttest(): For one group t-test, density curve now has dark gray border and value of smd added to the top text display over the visualization
ANOVA(): Randomized blocks ANOVA displays correct visualizations
BarChart(): Ordinal factors properly display as color gradients, e.g., "blues"
PieChart(): theme other than default now implemented
Plot(): For plotting a Trellis plot with a by variable, all levels correctly plotted and legend correct
Plot(): If x or y is categorical and the other continuous, if a by variable then fill and color colors properly displayed at end of display
Sort(): Internal coding simplified for improved functionality and generality
ttest(): pdf_file now works for one group t-test of the mean
interact(): New function for running one of the following shiny apps for interactive visualizations: "BarChart1", "BarChart2", "Histogram", "ScatterPlot", "Trellis", e.g., interact("BarChart1")
pivot(): Read a tidyverse tibble in addition to standard R data frames
pivot(): When naming variables, for variable y, now y_mean instead of y_mn
Plot(): For x=categorical and y=continuous, or vice versa, no jitter added if there are no duplications of y at each level of x, plus more jitter added for larger sample size if jitter is needed
BarChart(): Sort now works properly with a horizontal plot
pivot(): Now can have one variable to aggregate and one aggregation variable named x
Regression(): Debugging code removed from the k-fold cross-validation analysis
ANOVA(): Scatterplot for 1-way ANOVA now has grid lines and jitter
ANOVA(): Scatterplot for 1-way ANOVA now has jitter_x parameter added to customize the jitter level
ANOVA(): Scatterplot for 1-way ANOVA now has means plotted in a dark red instead of a dark gray
BarChart(): Tilde removed from each label if for a by variable in the legend where it is nonfunctional
pivot(): User defined functions accounted for and named in the output
pivot(): When analysis of all data values, dropped the Grand_Stat label
Plot(): Point color and fit line now a little darker and complements of each other, plot_errors segments a little darker as well
Plot(): For fit="reciprocal", fit line present for all values of x, even if plot window does not accommodate the full range, can adjust range with parameter pad_y
Plot(): Parameter root added for general root transformation beyond the value of 0.5 for the square root
Plot(): Parameter fit_power added to raise y to the designated power for the exp, root, and reciprocal transformations
Plot(): Correlational analysis no longer displayed for a non-linear fit line
Plot(): SSE displayed for corresponding fit line (curve)
BarChart(): Two variable chart with parameters x and by specified now correctly displays a color range when the style is not the default theme
BarChart(): Base R text() function misleadingly displays text at size 1 if a value of 0 is entered, lessR functions that rely on the R text function now fixed by changing an input value of 0 to 0.01
pivot(): Output variables now properly named
Plot(): Trellis plots with by1 and by2 parameters work in Shiny environment
BarChart(): If parameter sta not specified, there is now no default if the parameter y variable is specified without an indication of what statistic to compute
BarChart(): Gentle termination with a message if stats specifies a transform that results in missing data in the computed summary table
BarChart(): For analysis of computing a summary table with the parameter stat parameter, no longer display the summary stats for the parameter x variable when a by variable is present
getColors(): Default qualitative color palette softened a bit by increasing luminance from 55 to 60
getColors(): By default, now does not generate output when called from visualization parameters parameter fill and parameter color for parameter BarChart(), etc.
getColors(): Output parameter values changed to parameter logical, parameter TRUE and parameter FALSE
pivot(): New parameter parameter table_long allows the table computation for a cross-tabs table be output in long form
pivot(): Tabulate computation continues to work, though no longer documented as it is supersede
BarChart(): Further adjustment to accommodate very large legend labels for two variable plots
BarChart(): If the y values are input, the display of the values will be properly turned off if the parameter style option for values is set to parameter "off"
Plot(): Default jitter for 1-D scatterplot works again in VBS plots
Plot(): Parameter by works again for VBS plots, multiple plots on same panel
Plot(): Parameter color now works in conjunction with the by parameter
Plot(): Applied to a scatterplot of two continuous variables:
if color is set to "off" (or "transparent"), a requested fit line still displays
means are now properly plotted for a scatterplot of a continuous and
categorical variable when jitter is applied to the plotted points
default outlier shape in gray scale changes to diamond as documented
BarChart(): For a two categorical variable bar chart, the legend labels are by default no longer abbreviated, instead sufficient room is generated by the plot
BarChart(): New parameter legend_abbrev allows for the specification of the maximum number of characters to display for the legend labels
BarChart(): For a two categorical variable bar chart, better default placement of the legend new parameter legend_adj allows for horizontal adjustment of the legend
BarChart(): First variable x is a vector works again
Histogram(): Parameter pdf_file works
Plot(): Parameter enhance=TRUE correctly prints least-squares line when fill changed
BarChart(): When fill or color set with getColors(), the value of n, the number of colors, is provided according to the number of bars
BarChart(): When horiz is TRUE, order of sort changed so that "-" starts at top
BarChart(): Space to separate the x-axis label when several lines revised parameter pdf to pdf_file
corProp(): Alias changed from prop to cp, so prop for new function Proportion()
Density(): Parameter pdf to pdf_file
Histogram(): Parameter pdf to pdf_file
kurtosis(): New function for computing kurtosis, available for the pivot() function
pivot(): Choose any two of the following three parameters: multiple compute functions, multiple values over which to compute, and multiple grouping (by) variables
pivot(): No by variables imply to do grand total(s) without an aggregation
pivot(): Choose any two of the following three parameters: multiple compute functions, multiple variables, and multiple by-variables.
pivot(): Sort parameter applies for a single aggregated numerical variable and specifies the variable or column number to sort
pivot(): For each non-decimal digit variable with unique data values, display
pivot(): The variable name and the unique values to better label the output when drilling down into levels of one or more categorical variables
pivot(): Compute quantiles() function provides a standard data frame
pivot(): Compute table() function provides a cross-classification table for a discrete aggregated variable
pivot(): Table frequencies can be converted to proportions, and row and column proportions
pivot(): Parameter out_names parameter to custom-name aggregated variables
pivot(): Parameter na_by renamed to na_by_show to better communicate its meaning skew and kurtosis added to the list of available descriptive statistics
pivot(): Parameter q_num specifies number of intervals for quantiles
pivot(): Parameter rows subsets rows of the data frame for analysis
pivot(): Parameter value changed to parameter variable
pivot(): Parameters rows_by and cols_by changed to by and by_cols
Plot(): Scatterplot matrix does a loess fit if fit=TRUE
Plot(): If multiple x or y variables, text correlation analysis displayed for each combination
Plot(): If a by variable, then text correlation for each level not yet available, so not displayed
Plot(): Default for plotting a fit line with by groups is to not plot the standard errors because the plot becomes overcrowded
Plot(): Warning displayed if the date field or a by/by1 field is not ordered
Plot(): Stacked time series chart of different shades of same hue, such as "blues" now have each sub-plot with a black border
Plot(): Trellis plot distinguishes area_fill under a line from fill for a point
Plot(): radius value for bubble plot frequency matrix dependent on size of
Plot(): Largest frequency radius value displayed for bubble plot frequency matrix
prob_norm(): Probability is returned as the value of the function, not just printed
prob_tcut(): Cutoff is returned as the value of the function, not just printed
Prop_test(): New function for the analysis of proportions: test of homogeneity for one or more samples based on the proportion of successes for a specific value of a variable, and for a single sample, goodness-of-fit for a single categorical variable and test of independence for two categorical variables
Prop_test(): prop is alias
recode(): Changed to lower case function name
rescale(): Changed to lower case function name
Regression(): Bubble plot form of a scatterplot for integer variables with less than 10 unique values and a single predictor variable
skew(): New function for computing skew, available for the pivot() function
style(): slatered theme added
style(): ellipse_fill for default "colors" theme now a pale brown instead of blue
BarChart(): With more than 30 categories, a message to indicate how to retrieve now properly displays instead of crashing
BarChart(): fill=(count) would fail for a large number of levels
BarChart(): Stacked bars from multiple items now works with variable labels
BarChart(): Stacked bars from multiple items now works for binary responses
Extract(): Now works if name of data frame is a function in another context
Extract(): Now works even if one variable name is embedded in another name
Plot(): Forcing an evaluation of a scalar logical on a vector fixed
Plot(): theme parameter works for most common parameters
Plot(): Bubble plot frequency matrix text output works with labels
Plot(): Bubble plot frequency matrix plot x-axis works with binary response
Plot(): area_fill works correctly
ttest(): For paired analysis, x-axis properly labeled Difference