Histogram(), Plot(),
Correlation(), ttest(): Vastly speeded up for
data sets much over 500 data values, substantial improvement on large
data setsPlot(): Parameters jitter_x and
jitter_y are reset for the scatterplot (not VBS plot) to
explicitly set the amount of jitter within the negative and positive
values of their assigned values, or, set to NULL to
activate the default value of the range of the variable divided by
50
Plot(): Text output for Mahalanobis distance more
nicely formatted.
interact(): Reading of text files was not detecting
blank data values for variables of type character as
missing, which now it does
interact(): Various revisions of the interface
styles and efficiency increases
interact(): A Help option added for
each analysis, which, when clicked, displays a web page of explanation
of the analysis and listing and definition of each presented
parameter
interact("BarChart"): Numerical y
variable and associated stat parameter added for analysis
of means and related statistics across the levels of the categorical
variable x
interact("BarChart"): The summary table of each
category level paired with a number, to translate into bar height, can
now be read as the input data table
`interact(“Plot”): ID lableing of outliers added
pivot(): For a single variable to
process, the variable name no longer repeated for each column of the
output, one column per statistic computed
BarChart(): When plotting a statistics for a
numerical variable, y, each plotted values are now
displayed at the console with sufficient width
interact("ScatterPlot"): Parameter
enhance now works
interact("ScatterPlot"): Choose parameter
enhance then parameter by now works
interact("ScatterPlot"): Parameters by
and size now work together and properly written to the R
code file
interact("Trellis"): Single VBS now plotted without
a by1 variable for Trellis plots per se
Regression(): For parameter Rmd,
collinearity issue fixed
ref_group for Logit(), new, more
explanatory name for ref, the level of the binary target
variable explicitly defined as the reference group instead of relying on
the default
train_test() has new parameter
matrix_out which outputs the data structures as matrices
instead of as data frames
Regression(): For automatically generating and
processing R markdown files, users can now 100% customize the output
directly by creating their own input files, just one or all eight of the
files
Regression(): Added parameters
Rmd_custom to specify one or more custom input files and
Rmd_dir to specify a custom directory where the files are
stored
Regression(): For output, vars
component added that is a vector of the variable names in the model
beginning with the response variable
Regression(): Parameters res_rows and
pred_rows changed to the more descriptive
n_res_rows and n_pred_rows
interact("Histogram"): The bandwidth
slider for the density option now re-adjusts if a new
variable is selected from the same data set
interact("Plot"): Points now plotted
properly
interact("Plot"): Fill color properly set if a
by variable is selected
Plot(): Transparency (trans parameter) now works
when size as a variable and by are activated
Plot(): for a fit function, mse now
properly computed
recode(): Entire data frame now not written to the
console
Regression(): Text enlarged for scatterplot
matrix
Regression(): Number of allowable terms in the model
definition now greatly expanded
Regression(): When generating a markdown file with
parameter Rmd, if reading a label file included with
lessR, the correct data file is now properly listed instead
of the label file
interact(): lessR data analysis is now interactive,
with each interactive analysis now displayed for analyzing the user’s
own data, which also includes summary statistics as output with the
option to save the plot to a pdf file plus the corresponding R codeBarChart(): Parameter do_plot added for
the option of computing summary statistics but not plotting
Histogram(): Underlying algorithm more
efficient
Histogram(..., density=TRUE): fill_gen
and color_gen revised to fill_general
andcolor_general, and fill_nrm and
color_nrm to fill_normal and
color_normal though the old names still accepted, as with
bandwidth in place of bw and
include_histogram in place of dn.hist
Histogram(): for density curve, provided values for
fill_general and fill_normal that are color
names now are converted to the same transparency level as their default
colors
PieChart(): value labels now separated from the
category label so that size can be set independently
pivot(): Long labels now abbreviated to stay within
column widths
Plot(): For numbers < 10000, more decimal digits
for stat outcomes of fit parameter, such as MSE
Plot(): With a by variable a named, sequential color
range such as “reds” can now be specified in addition to the qualitative
range of “hues”
tt.brief() removed, long since replaced by
tt_brief()
loading lessR: Now lessR loads properly if another
previously loaded package had loaded shiny
Histogram(): Returns in list structure, such as
h, saved output from
h <- Histogram(...)
Histogram(): When bin_start was < 0
the number of displayed digits for the mid point of each bin could be
excessive, now fixed
Histogram(): spelling error of out_suggewt to
out_suggest fixed for output names
pivot(): When constructing a table (instead of a
dataframe), NA’s now properly displayed
Plot(): Restored title that indicates scaling of
bubble plot
Plot(): Transparency on bubble plots now
works
Read2(): Now works properly
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 worksPlot(): Plotting a vector for x or
y with fit now worksANOVA(): 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 ….
regression line and equation for each level of the categorical variable
superimposed over the scatterplot. Type II SS for the ANOVA table. 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% range of
variation of the residuals, with values displayed with commas for large
numbers
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
`