Version 1.5
------------------------------------------------------------------------------
New functions:
* "sju.groupString" to recode similar (close distance) elements of a character vector into a new, single string value.
* "sju.strpos" to find partial matching and close distance elements in strings.
* "sju.mean.n" to compute means for rows with at least n valid values (like SPSS MEAN.n function).
Changes to functions:
* "sjt.frq" can now handle character vectors (string variables), see parameter "removeStringVectors".
* "sjt.frq" can automatically group string values in character vectors according to their distance metrics (similarity). This will merge different but similar values into a new, single value.
* Prefixes of statistical test functions have been renamed from "sju" to "sjs".
* Added "themr" option to "theme" parameter of all sjp-plotting function, so the sjPlot package can be used with the ggthemr-package (https://github.com/cttobin/ggthemr). You may use the "ggthemr::swatch" function to retrieve theme-colors as bar/point/line-colors.
* Added parameter "axisLimits.y" to function "sjp.emm.int"
* Added parameter "axisLimits.y" to function "sjp.lm.int"
* "sjp.lm" now shows adjusted r-square in model summary.
* "sjc.cluster", "sjc.qclus" and "sjc.dend" now also accept agglomeration options "ward.D" and "ward.D2" if you are using an R version later than 3.0.3.
* "sjt.itemanalysis" now calulates index scores based on "sju.mean.n" function (see parameter "minValidRowMeanValue").
General:
* Removed extracted single functions from other packages and added imports for those functions. sjPlot now also imports "psych" and "cluster" package.
* Removed packages cluster, coin, lsmeans and lmtest from required imports and moved them to suggested packages.
Bug fixes
* Parameter "theme" was ignored in "sjp.scatter" - fixed.
Version 1.4.3
------------------------------------------------------------------------------
New functions:
* "sjp.emm.int" to plot estimated marginal means (least-squares means) of linear models with interaction terms.
Changes to functions:
* Added parameter "showRowNames" to "sjt.df", so first table column with row names can be omitted from output, when "describe" is set to "FALSE".
* "sju.mwu" now computes exacts p-values and additionally reports Z-value and effect-size r.
* Added parameter "useFacetGrid" to "sjp.lmm" to plot each model in a new panel.
* Added parameter "moderatorValues" to "sjp.lm.int" to indicate which values of an interaction's moderator variable should be used for plotting predicted values.
* Added parameter "showPercentageAxis" to "sjp.stackfrq" to show or hide the percentage values for the x-axis.
* Added parameter "reverseAxis.x" to "sjp.qclus"
Bug fixes
* Fixed minor bugs in "sjp.frq"
Version 1.4.2
------------------------------------------------------------------------------
Changes to functions:
* The correlation matrix of each component's index score in "sjt.itemanalysis" (see parameter "showCompCorrMat") now only displays the lower triangle.
Bug fixes:
* Fixed bug in function "sji.setValueLabels", which did not set value labels for atomic variables.
* Fixed bug when computing correlation matrix of each component's index score in "sjt.itemanalysis" (see parameter "showCompCorrMat").
Version 1.4.1
------------------------------------------------------------------------------
New functions:
* "sjt.mic" to compute mean inter-item-correlation.
Changes to functions:
* All "sjt"-functions have enhanced options for the "CSS" parameter. With the plus-sign (+) you can add additional style sheets to the default styles. See examples in help files and on http://rpubs.com/sjPlot
* "sjt.itemanalysis" now also computes the mean inter-item-correlation for each scale.
* "sjt.itemanalysis" now also computes the component-correlation-matrix (see parameter "showCompCorrMat"), including the Cronbach's alpha for each component to compare internal component consistency with inter-component-correlation.
* "sjt.itemanalysis" now also includes kurtosis statistics and Shapiro-Wilk-Normality-Test.
* Improved value label positioning for bar charts in function "sjp.frq" when "flipCoordinate" is TRUE.
* "sjt.corr" can now display values only in the upper right or lower left triangle of the correlation table (see Parameter changes).
* "sjt.corr" can suppress correlation values below a specific limit (see parameter "val.rm").
* "sjt.xtab" table output now has double bottom border by default, even if table summary is hidden.
* "sji.setValueLabels" can now apply value labels to a complete data frame at once.
Parameter changes:
* Added parameters "showValueLabels", "showFreq", "showPerc" and "showID" to function "sji.viewSPSS" to be more flexible with table content.
* Added parameter "expand.grid" to "sjp.frq", "sjp.grpfrq", "sjp.stackfrq", "sjp.xtab" and "sjp.aov1", so plotting region can have margins to axes (ggplot-default-behaviour).
* Added parameter "stringDiagonal" to "sjt.corr" to print custom values into the diagnoal "self-correlation" cells (which are by default empty).
* Added parameter "barOutlineSize" to functions "sjp.grpfrq", "sjc.qclus" and "sjp.xtab".
* Added parameter "triangle" and "title" to function "sjt.corr".
* Added parameter "hideProgressBar" to functions "sjt.df" and "sji.viewSPSS" to hide progressbar if needed.
* Added parameter "showCompCorrMat" to function "sjt.itemanalysis" to compute the component-correlation-matrix.
* Added parameter "factor.groups.titles" to function "sjt.itemanalysis", which can be used for table captions.
* Changed parameter name "outlineColor" to "barOutlineColor" for those functions which plot bars. Changes made to harmonize this parameter with "barOutline", "barSize", "barOutlineSize", "barColor" etc.
* Remamed parameter "diagramMargins" in "sjp.likert" and "sjp.stackfrq" to "expand.grid".
Bug fixes:
* "sjt.corr" did not work when parameter "data" was a cor-object. Fixed, "data" can now also be a cor-object.
* "sjp.lm" did not work when fitted model only had one independent variable.
* "sjt.stackfrq" and "sjp.stackfrq" did not properly plot/print zero-categories.
* "sjp.grpfrq" used wrong x-axis-labels when auto-detecting value labels.
* Parameter "no.output" did not work for "sjt.itemanalysis".
* Parameter "barOutlineSize" did not work properly for bar charts in function "sjp.frq".
* Parameter "showGroupCount" in function "sjp.grpfrq" did not work properly.
* Line- and dot-type in "sjp.grpfrq" did not work properly.
Various:
* Spell corrections and additions to documentation.
Version 1.3
------------------------------------------------------------------------------
New functions:
* "sjt.itemanalysis" to save/view results from an item analysis on a scale or data frame.
* "sju.chi2.gof", which is a small and convenient helper function to quickly perform chi-squared goodness-of-fit tests.
* "sji.setValueLabels" to attach value labels to a variable or vector.
* "sji.setVariableLabels" to attach variable labels to a variable / vector or to variables of a data frame.
* "sju.table.values", which is a convenient function to calculate cell, row and column percentages as well as expected values of a table.
* "sju.phi", which is a small and convenient helper function to compute Phi values for contingency tables.
* "sju.cramer", which is a small and convenient helper function to compute Cramer's V for tables.
Changes to functions:
* Functions "sjt.frq", "sjp.frq", "sjp.grpfrq", "sjp.xtab", "sjt.xtab", "sjp.likert", "sjp.aov1", "sjp.stackfrq" and "sjt.stackfrq" now automatically try to retrieve value labels, if no value labels were supplied as parameters. Where appropriate, variable labels (if not specified) are also automatically retrieved (from data frame's column names).
* Functions "sjp.frq", "sjt.frq", "sjp.grpfrq", "sjt.stackfrq", "sjp.stackfrq", "sjp.corr", "sjt.corr", "sjt.xtab", "sjp.xtab", "sjp.aov1", "sjp.likert", "sjp.chi2", "sjt.pca", "sjp.pca" and "sjp.scatter" can now automatically retrieve variable labels for (axis) titles. For some functions, this will work only when paramater "title" resp. "axisTitle" (or similar, depending on the function) is set to "auto" (refer to documentation). Generally, this only works when varibales have a "variable.label" attribute (which can be set via the new "setVariableLabels" function).
* Functions "sjt.xtab" and "sjt.stackfrq" can now show missing values (parameter "showNA").
* Functions "sjt.xtab", "sjp.xtab" and "sjp.grpfrq" now computes Fisher's exact test instead of Chi-squared test when expected values in a table cell are lower than 5 (or lower than 10 if df is 1).
* Function "sju.reliability" now returns NULL if data frame has too less columns.
* Function "sjt.df" now also includes amount and proportion of missings when describing a data frame.
* Function "sjp.frq" can now add a normal curve to density plots.
* Function "sjp.lm.ma" now plots an additional normal curve in non-normality check of residuals.
* Function "sjt.df" now also returns the description of the data frame.
* Function "sji.SPSS" can now automatically attach variable labels to each variable of an imported SPSS dataset.
* Function "sjc.grpdisc" now (invisibly) returns the ggplot-object and a vector with accuracy values.
Return value changes:
* Changed return value of function "sjc.qclus". Parameter "classification" now contains the group classification, including missing values, so this vector can be appended to the original data frame (because it has the same row length now).
* Changed return value of function "sjc.cluster". The group classification now includes missing values, so this vector can be appended to the original data frame (because it has the same row length now).
Parameter changes:
* Renamed parameter "showN" in function "sjt.stackfrq" to "showTotalN".
* Renamed parameter "omitNA" in functions "sjp.frq" and "sjp.grpfrq" to "na.rm".
* Added parameter "hist.skipZeros" to function "sjp.frq", to drop zero-counts and missings when drawing histograms. With this parameter, the default geom_histogram-behaviour can be replicated.
* Added several parameters to functions "sjt.lm" and "sjt.glm" to specifiy the string values of column headings (OR, B, std. error, CI etc.).
* Added several "digits." parameters to functions "sjt.lm" and "sjt.glm" to specifiy the amount of decimals for different values (estimators, ci, p etc.).
* Added parameter "digits" to function "sjp.pca", so amount of decimals for values can be defined.
* Added parameter "groups" to function "sjc.qclus", which can be used to plot existing cluster solutions without computing a new cluster analysis on the data frame.
* Added parameter "showN" to function "sjt.stackfrq" for showing count values in table cells.
* Added parameter "exp.coef" to function "sjt.glm" to display non-exponentiated coefficients.
* Added parameter "repeatHeader" to function "sjt.df", which adds the header row to the end of the table. Useful when having long tables.
* Added parameters "interceptLineType" and "interceptLineColor" to function "sjp.lm" to highlight the zero point on the x-axis.
* Added parameter "showAccuracyLabels" to function "sjc.qclus" to plot group classificatoin accuracy to legend labels.
* Added parameters "iter.max" and "algorithm" to functions "sjc.qclus" and "sjc.cluster", to define maximum of iterations and calculation algorithm for kmeans cluster method.
* Added parameter "printPlot" to function "sjc.grpdisc", to suppress plotting the graph, if needed.
* Added parameter "newLineConf" to functions "sjt.lm" and "sjt.glm", which can be used to add a line break between OR-/B- and CI-values, if OR-/B- and CI-values are printed in the same column.
* Added parameter "cellSpacing" to functions "sjt.lm" and "sjt.glm", which is a convenient parameter for changing cell spacing, alternatively to using the "CSS" parameter.
Bug fixes:
* Fixed bug in "sju.reliability" when data frame had too less columns, and row names of return value could not be set.
* Fixed bug in "sjt.lm" and "sjt.glm" (p-values shown as numbers were not center aligned by default).
* Fixed bug in "sjp.pca" and "sjt.pca", where the calculation of removable items (see parameter "factorLoadingTolerance") did not work properly in all cases.
* Fixed bug in "sjt.frq", where "knitr" return value did not contain complete content when multiple variables were supplied as parameters.
* Fixed bug in "sjp.frq" when variables were factors with character levels.
* Fixed bug in "sjt.xtab" with broken rendering when using grouping variables.
* Fixed bug in "sjp.grpfrq" when variables were factors with character levels.
* Fixed bug in "sji.viewSPSS" when list of value or variable labels of imported data sets had a different length from the data frame's number of columns.
Various:
* Minor improvements.
* Spell corrections and additions to documentation.
Version 1.2.2
------------------------------------------------------------------------------
New functions:
* "sjt.pca" to save/view results from PCA as html table.
* "sjt.corr" to save/view results from correlations as html table.
* "sjt.stackfrq" to save/view results from stacked frequencies or likert scales as html table.
* "sji.viewSPSS" to inspect variable structure of importet SPSS datasets.
* "sju.recode" (which is just a wrapper for the recode-function of the car package that is needed for sjPlot anyway).
* "sju.weight" to weight a variable / vector with specific weight factors.
* "sju.mwu", which is a small helper function to quickly perform Mann-Whitney-U-Tests.
* "sju.cronbach", which is a small helper function to quickly calculate Cronbach's alpha.
* "sju.reliability" to perform reliability tests on item scales.
Changes to functions:
* Functions "sjt.lm" and "sjt.glm" no longer show annotation row when "pvaluesAsNumbers" is TRUE (since then no annotations are needed).
* Function "sjt.df" was re-structured. It now shows a data frame's description by default (see parameter "describe").
* All "sjt." functions as well as "sji.viewSPSS" now additionally return the object "knitr" which contains the html code with inline-css. Can be used to include the html-tables in knitr-markdown-documents and for importing html-files into office applications (such as MS Word or LibreOffice).
Parameter changes:
* Added parameter "useViewer" to all "sjt." functions and to function "sji.viewSPSS", which can be set to FALSE to force table output to be opened in a web browser.
* Added parameter "CSS" to all "sjt." functions and to function "sji.viewSPSS", which can be use to supply user-defined style-sheets to change the appearance of the html tables.
* Added parameter "no.output" to all "sjt." functions and to function "sji.viewSPSS", so opening a browser window or showing the output in a viewer pane can be avoided. Useful when the html-output should be used for knitr-documents.
* Added parameter "breakVariableLabelsAt" and "breakValueLabelsAt" to functions "sjt.xtab", which inserts line breaks at long labels.
* Added parameter "showFamily" to function "sjt.glm" to compare fitted glm with different link functions.
* Added parameter "showChi2" to function "sjt.glm" to optionally show chi-square-values of fitted models.
* Added parameter "showStdError" to functions "sjt.lm" and "sjt.glm" to show standard error of fitted model in the table.
* Added parameter "showLegend" to function "sjt.xtab" so the color legend can be shown or hidden.
* Added parameters "showSkew" and "showKurtosis" to function "sjt.frq", so skewness and kurtosis of variables can be printed in the summary.
* Added parameter "startAxisAt" to function "sjp.grpfrq" for cases where variable values have a range starting with a higher lowest value (e.g. ranging from 5-15).
Bug fixes:
* Fixed bug in function "sjp.corr" with p-value-labels, when p-values were printed as "*".
* Fixed typo in functions "sjt.lm" and "sjt.glm" where in the annotation row "*" was labelled as "p<0.005" (and not "p<0.05").
* Minor bug fixes.
Various:
* All "sjp." functions now (invisibly) return the ggplot-object as well as the underlying data frame by default. The "returnPlot" parameter was removed. In case you don't want to plot the graph, use the new "printPlot" parameter.
* Removed function "sju.modsum.lm" from official namespace (cleaning-up), since it was too specific and not generally useful.
* Improved table layouts for "sjt." functions.
Version 1.1
------------------------------------------------------------------------------
New functions:
* "sjp.scatter" to plot (grouped) scatter plots including fitted lines.
* "sjc.qclus" to automatically compute and inspect a quick cluster analysis of a data frame.
* "sjc.kgap" to determine the optimal amount of clusters according to the "gap" statistic.
* "sjt.xtab" to save/view cross tables of two (or three) variables as HTML table.
* "sjt.df" to save/view the content of data frames as HTML table.
* "sju.setNA" to quickly specify missing values.
Changes to functions:
* Functions "sjt.frq", "sjt.lm" and "sjt.glm" now invisibly return the style sheet definition and the web page content for further use, for instance if several lm-tables should be saved to a single html file see example).
* Functions "sjt.frq", "sjt.lm" and "sjt.glm" now have more style attributes inside the style sheet definition, so it's easier to change the HTML-table's appearance via CSS.
* Function "sjc.dend" can now plot the rectangles for several cluster solutions (see help for parameter "groupcount").
* Function "sjc.elbow" now automatically removes missing cases from data frame.
Parameter changes:
* Added parameter "jitterValueLabels" to functions "sjp.likert", "sjp.xtab" and "sjp.stackfrq" to avoid overlapping of narrow displayed value labels.
* Added paramter "encoding" to functions "sjt.frq", "sjt.lm" and "sjt.glm", so the charset encoding of the output HTML file can be changed.
* Added parameters "distance" and "agglomeration" to functions "sjc.cluster" and "sjc.dend", so distance and agglomeration methods for hierarchical clustering can be specified.
* Added parameters "alternateRowColors" and "stringValue" to function "sjt.frq".
* Default value of "autoGroupAt" parameter in functions "sjp.grpfrq" and "sjp.frq" was set to NULL (auto-grouping turned off) because auto grouping leads to unexpected behaviour with violin plots, box plots and histograms (wrong scale range).
Bug fixes:
* Fixed bug in function "sjc.grpdisc" (missing values in data frame have not been removed).
* Fixed bug in function "sjp.likert" when a dropped level from the likert scale (parameter "dropLevels") was outside of the legendLabels index (i.e. "dropLevels" was greater than "length(legendLabes)".
* Spell corrections in documentation.
Version 1.0
------------------------------------------------------------------------------
New functions:
* "sjp.lmm" to plot multiple fitted lm's in one plot.
* "sjp.glmm" to plot multiple fitted glm's in one plot.
* "sjp.lm1" to plot regression lines of fitted linear models with only one predictor (lm(y~x)).
* "sjt.frq" to save (multiple) frequency tables as HTML file.
* "sju.recodeTo" to recode variable's category values.
* "sju.dicho" to dichotomize variables.
Changes to functions:
* HTML tables generated with functions "sjt.lm" and "sjt.glm" can now also be displayed in RStudio Viewer Pane or opened via web browser, if parameter "file=NULL" (default).
* Added VIF check (multicollinearity) for function "sjp.glm.ma".
* Enhancment of function "sju.groupVar". It's now possible to use "groupsize=auto" to automatically group variables into a maximum of 30 groups (ggplot-default binwidth-adjustment of histograms). The maximum amount of group can also be specified by the "autoGroupCount" parameter.
* Enhancment of function "sju.groupVarLabels". It's now possible to use "groupsize=auto" to automatically create variable labels for grouped variables with a maximum of 30 groups (ggplot-default binwidth-adjustment of histograms). The maximum amount of group can also be specified by the "autoGroupCount" parameter.
Parameter changes:
* Added parameter "autoGroupAt" to functions "sjp.frq" and "sjp.grpfrq" to automatically group variable with larger number of unique values into smaller units to prevent too many bars to be plotted.
* Added parameter "dots" to function "sjp.frq" to plot dot-plots.
* Added parameter "startAxisAt" to function "sjp.frq" for cases where variable values have a range starting with a higher lowest value (e.g. ranging from 5-15).
* Added parameter "flipCoordinates" to functions "sjp.lm" and "sjp.glm".
* Added parameter "axisLabelsAngle.x" to functions "sjp.lm" and "sjp.glm".
* Added several parameters to functions "sjt.lm" and "sjt.glm" to show/hide the different model summary elements.
* Added parameter "labelDigits" to function "sjp.lm" and "sjp.glm" to change digits after decimal points for esitmators (value labels).
* Added parameter "labelDigits" to function "sjp.aov1" to change digits after decimal points for means (value labels).
* Added new parameters to function "sjp.lm.int" to plot intercept lines of predictors w/o interactions.
* Added parameter "returnPlot" to functions "sjp.reglin" and "sjp.lm.in". Multiple ggplot object will be returned as list.
Bug fixes:
* Fixed bug that added unnessecary line break in axis-, title- and legend-labels, which let them appear a bit misaligned.
* Fixed bug in VIF calculation (see "sjp.lm.ma").
Version 0.9
------------------------------------------------------------------------------
New functions:
* "sju.adjustPlotRange.y" to adjust y-range of ggplot-objects, for instance if labels are out of visible range.
Changes to functions:
* With "sjp.aov1", positive and negative means can now be plotted in different colors. Thus, parameters "pointColor" and "barColor" were renamed and do now require a vector with two color values (instead of just one).
* Changed automatic calculation of grid breaks in function "sjp.aov1" and "sjp.lm" to have more pretty grid breaks at x axis.
Parameter changes:
* Added parameter "showAxisLabels.y" to functions "sjp.frq" and "sjp.grpfrq", so the tick mark values on the y-axis can be hidden.
* Added parameter "showCountValues" to functions "sjp.frq" and "sjp.grpfrq". Now either count or percentage values, or both can be printed or hidden. Use "showValueLabels" to generally hide value labels, and then use "showCountValues" and "showPercentageValues" to show/hide each.
* Added parameter "plevel" to function "sjp.lm.int", so also interactions that are above the 0.05 significance level may be plotted.
* Added parameter "axisLabelAngle.x" to function "sjp.aov1", which is helpful if bars are plotted and category labels that appear on the x-axis need to be rotated.
* Renamed parameter "pointColor" to "pointColors" in function "sjp.aov1".
* Renamed parameter "barColor" to "barColors" in function "sjp.aov1".
* Renamed parameter "reverseItems" to "reverseOrder" in function "sjp.likert".
* Renamed parameter "reverseX" to "reverseOrder" in function "sjp.stackfrq".
* Renamed parameter "reverseX" to "reverseOrder" in function "sjp.xtab".
Bug fixes:
* Fixed bug in function "sjp.aov1" when using type="bars" and showing error bars.
* Fixed bug in function "sjp.lm.int" that used wrong values for the predictor on the x-axis (value index instead of value itself was used).
Version 0.8
------------------------------------------------------------------------------
* Added parameter "showConfInt" to functions "sjt.lm" and "sjt.glm", so CI may be omitted from table output.
* Added parameter "orderBy" to function "sjp.stackfrq" so items can be ordered according their counts of first or last item category.
* Added "utils::globalVariables" to source to avoid notes during R CMD check.
* Updated imports and dependencies, so with selected importing of functions attaching requested libraries is no longer needed.
* Spell correction of function "sju.ao1.levene", which is now named "sju.aov1.levene".
Version 0.7
------------------------------------------------------------------------------
* New function "sji.convertToValue" to convert factor variables to numeric variables.
* Added parameter "hideGrid.x" to various functions, so the x-axis-gridlines can be hidden.
* Added parameter "hideGrid.y" to various functions, so the y-axis-gridlines can be hidden.
* Added parameter "returnPlot" to most plotting function, so the complete ggplot-object is returned by the function and can be further manipulated.
Version 0.6
------------------------------------------------------------------------------
* New function "sjt.lm" to print results of linear regressions to HTML-tables.
* New function "sjp.aov1" to plot results of One-Way-Anovas.
* New function "sju.aov1.levene" to show results of a Levene-test for One-Way-Anovas.
* Added more variables to sample data set "efc".
* "geomAlpha" now also changes the alpha value of tiled geoms in function "sjp.corr".
* Fixed bug in "sjp.pca" function when calculating Cronbach's alpha from a dataframe with missing values.
* Fixed bug in "sjp.pca" function with "breakLabelsAt" parameter, which did not work when no axis-labels were supplied and the dataframe's column names were used as labels.
* Renamed function "sjp.lmma" to "sjp.lm.ma".
* Renamed function "sjp.glmma" to "sjp.glm.ma".
* Renamed function "sjp.lmint" to "sjp.lm.int".
* Added examples to functions "sjp.stackfrq", "sjp.corr", "sjp.pca".
Version 0.5
------------------------------------------------------------------------------
* New function "sju.betaCoef" to calculate std. beta coefficients of linear models.
* Added more diagnostic plots to "sjp.glm.ma" function.
* Added loess-line to "sjp.reglin" function to compare linear with loess regression. See "?sjp.reglin" for more information.
* Added parameters "interactionVar" and "interactionVarLabel" to function "sjp.frq".
* Updated weblog reference URLs.
* Renamed parameters "y" in function "sjp.frq" to "varCount".
* Renamed parameters "y" and "x" in function "sjp.grpfrq" to "varCount" and "varGroup".
* Added examples to functions "sjp.grpfrq"and "sjp.frq".
Version 0.4
------------------------------------------------------------------------------
* Added parameters "titleSize" and "titleColor" to many functions, so the plot's title size and color can be modified.
* Fixed bug in "sjp.likert" function.
* Changed parameter "axisLabels.x" to "axisLabels.y" in "sjp.likert" function.
* Changed parameter "axisLabels.x" to "axisLabels.y" in "sjp.stackfrq" function.
* Default gray from axis labels was changed (darkened) from "darkgray" to "gray30" (which seems more suitable when creating graphics for presentation slides).
Version 0.3
------------------------------------------------------------------------------
* Added new function "sjp.reglin" to plot and analyse single predictors against response for fitted linear models.
* Inlcuded sample dataset "efc".
* Added some examples using the new sample dataset.
* Fixed bug in function "sjp.xtab"" with labelling the total-column.
* Fixed bug with "maxYlim" parameter in "sjp.frq".
* Fixed bug with "maxYlim" parameter in "sjp.grpfrq".
* Minor spelling and formatting corrections of help files.
Version 0.2
------------------------------------------------------------------------------
* Fixed bugs in documentation so package succeeds the check.
Version 0.1
------------------------------------------------------------------------------
* First release of sjPlot package.