NEWS.md
Fixed one URL
Fixed two modelsum test errors that were a result of rounding on macos.
Possible breaking change:
tableby(), modelsum(), and freqlist() now use the caption= argument in knitr::kable() to generate captions (comparedf() already does). (#310)
Changes to DESCRIPTION file:
Changed broom requirement to >= 0.7.1, in which a bug with geepack::geeglm was fixed. This affected one test in the test suite.
Added geepack package to “Suggests” (#279).
Removed gam from the “Suggests”, in favor of splines, which the modelsum() vignette actually uses.
Changed survival requirement to >= 2.43-1.
Other changes:
Added code to error informatively when “Suggests” aren’t available. (#317)
Added selectall().
Added “label” option to cat.simplify= and ord.simplify= for tableby()/paired(). (#288)
Fixed a bug in tableby() / paired() where stats.labels= specification would remove all default labels. (#316)
Fixed a bug in tableby() relating to a weird edge case when a by-level is “Total” and the total label is set to something else.
Added a feature to tableby.control() to allow for the total column to be moved before the other columns. (#320)
Added a feature to tableby.control() to allow for dropping of categorical levels. (#318)
Added relrisk() to modelsum() families (with corresponding addition of geepack package to “Suggests”). (#279)
Fixed a bug in modelsum() with confidence level for survival.
Suppressed warnings with new broom version when using MASS::glm.nb().
Added option to diffs() for extracting not-shared observations. (#305)
Fixed bug in comparedf() when things are infinite. (#306)
Change R requirement to >= 3.4.0.
Fixed a bug to conform with new broom publication, and change broom requirement to >= 0.7.0. (#296)
Fixed a bug to conform with new knitr publication, and change knitr requirement to >= 1.29. (#299, #300, #301)
The GitHub repository was moved from https://github.com/eheinzen/arsenal/ to https://github.com/mayoverse/arsenal/. The corresponding pkgdown site is now at https://mayoverse.github.io/arsenal/
freqlist(): Changed the default for addNA to be TRUE in the formula method, so that you only have to specify na.options like in the table method.
Added support for conditional logistic regressions. (#275)
Fixed a bug in modelsum.control() with confidence interval specification.
Expanded the statistic list for survival models.
Eliminated call to broom::confint_tidy(). (#296)
Removed checks for existance of stat functions (the check wasn’t working anyway) and search both the enclosing environment as well as parent.frame() (for custom stat functions).
tableby(): better described as.tbstat() and as.countpct() in the vignette, and make as.countpct() slightly more flexible. (#283)
paired(): fixed a bug with detecting stat functions.
tableby(): added an error if reserved terms are used in the by-variable. (#277)
Added an option for HTML footnotes (and superscripts) in summary.tableby(). (#298)
Added a pkgdown site: https://eheinzen.github.io/arsenal/
Moved knitr to an import. (#255)
comparedf(): Added support for tolerances by variable. (#167)
Added support for “min”, “max”, “sd”, “mean”, and “var” (#259) and “gmean”, “gsd”, “gmeansd”, “gmeanCI” (#260) and “Npct” (#263) and “sum” (#281).
Added a more informative error message when no summary statistic is computed. (#273)
freqlist(): Updated head.summary.freqlist() and tail.summary.freqlist() to comply with new R-devel definitions.
Updated “labels” vignette. (#267)
Added escape = argument to formulize(). (#282)
Redid how weights are handled. The only user-visible changes should be that standard deviations on length-1 groups are now reported as NA instead of NaN.
Fixed a bug with modpval.tableby() when factors are involved. (#239)
Added meanCI() and medianmad(). (#230, #232)
Added the units for difftime statistics when using dates (e.g., meansd, medianmad, iqr).
Fixed Chi-square and Fisher’s Exact test for one-level categorical variables. (#227, #228)
Fixed the n’s in the header when using weights. (#229)
Fixed a bug with confidence levels supplied through the control argument. (#234)
paired(): fixed a bug when using count() with factors. (#235)
tableby.control(): added explicit times= argument for survival summaries.
Added option to run statistical tests even if one by-group has 0 observations. (#233, #250, #251)
Stopped the formatting of p-values when they’re not numeric (if, say, they’re pre-formatted by the user). (#249)
Added functionality for multiple adjustor sets. (#240)
Fixed “Nmiss” and “N” when used with strata, which now both report the missings for the entire fit. (#241, #242, #243)
Suppressed messages from pROC::auc() when calculating AUC. (#244)
Fixed confidence level for survival models. (#245)
Added an option for the likelihood ratio test for the main effect (but not the adjustors): p.value.lrt (#238)
Blanked out p-values that are NA. (#246)
Fixed logic checking the length of chunk.opts=.
Allowed for empty code chunks. (#236)
verbatim(): removed named argument in favor of the dots; reworked the object structure to fix edge case printing oddities. (#248)
Removed defunct functions.
modelsum(): added Wald confidence intervals to binom.stats=. (#219)
Fixed a bug with merge.arsenal_table() losing control parameters for tableby() objects. (#221)
Allowed for variable-name-only labelTranslations= assignment for terms with inline statistical test specification. Backward compatibility should be maintained here. (#220)
Fixed a bug with assigning NULL labels with inline statistical test specifications. (#222)
summary.tableby(): fixed a bug with formatting when strata aren’t in alphabetical order and have different number of elements (e.g., if only one includes missing values). (#215)
Added “Nmiss” to default surv.stats= in tableby.control().
tableby.control(): fixed a bug with simplifying categorical and numeric output. (#199, #203) This fix also allows for simplification of custom statistics. (#200)
tableby.control(): added date.simplify= and ordered.simplify= arguments. (#202) The order of arguments has changed slightly for consistency.
paired.control(): took away the arguments that should be the same as tableby.control(), and only included arguments with new defaults or which don’t appear in tableby.control().
Added the functions countN() and Nrisk() (#201). Nrisk() now outputs what NriskSurv() used to; NriskSurv() now outputs what its name suggests: the number at risk, and the survival. Additionally, as.countpct() gains the which.pct= argument, whose default of 0 may break the formatting of percents (digits.pct=).
Added additional summary table to the summary() output.
Moved the max.print...= arguments to comparedf.control(). max.print.diff= is now deprecated and is replaced by max.print.diffs.per.var=. max.print.diffs= was also added to control overall number of differences printed.
Fixed a bug with numeric percent tolerances when both values being compared are 0. (#206)
Fixed a bug in diffs() (and hence summary()) when no variables are compared (#207). Note that this change also included a change to the by-variables reported in the comparedf() object when merging over row.names.
There are a few non-backwards-compatible updates.
Major changes:
Renamed compare() -> comparedf() and comparison.control() -> comparedf.control(). (#179)
modelsum(): Fixed bug(s) with interaction terms. (#173, #177)
Added a new function loosen.labels() which removes the classes added by keep.labels() and thereby speeds up subsetting when labels are no longer needed. This is now used in tableby(), modelsum(), freqlist(), and paired().
Smaller changes:
Fixed two bugs relating to modpval.tableby(): one which didn’t properly assign the p-value name (#174), and one which broke as.data.frame() when assigning custom p-values for only one strata (#175).
These now issue informative error when class isn’t recognized. (#180)
Fixed two bugs in the tableby() vignette: modpval.tableby() wasn’t working properly (#170), and pfootnote=TRUE was commented out (#169).
Fixed a bug with per-variable stats and digit specifications being lost when using the subset= argument. (#182, #183)
Made all-NA summaries prettier. (#190)
This now issues a warning when coin isn’t available for the trend test. (#193)
This now allows for zero-row data.frames. (#166)
comparedf.control() now allows for named tol.vars= argument to manually match column names. (#165)
Fixed a bug where labels would get dropped when using the subset= argument. (#184)
Fixed a bug where labels were lost when subsetting the table and using strata terms. (#196)
freqlist(): implemented a sort() method to sort tables on frequency. (#187)
summary.freqlist(): Implemented head() and tail(). (#188)
summary.freqlist(): fixed a bug when all table counts are 0 and sparse=FALSE. (#186, #194)
This no longer sticks another class on data.frames.
Fixed a bug with replacement for objects of class "keep_labels".
formulize(): added the collapse= and collapse.y= arguments. (#197)
There is a new class system ("arsenal_table") which unifies tableby(), modelsum(), and freqlist().
arsenal now imports and re-exports utils::head() and utils::tail().
arsenal now has a sticker!
arsenal_table:
Implemented a new class (without a constructor).
labels<-.arsenal_table() doesn’t support unnamed labels, as it’s unclear how to assign them to multiple by-variables and strata. It also doesn’t give warnings if your labels are not used.
[.arsenal_table() has an argument j= to select the by-variables.
merge.arsenal_table() has arguments to select which by-variables to keep if not all are in common. It also checks to make sure that strata, weights, and by-variables are all identical.
print.arsenal_table() shows y- and x-variables, plus any strata.
Added functionality for multiple by-variables and strata terms. This required completely reworking the innards of the tableby object.
Removed length.tableby() (because it was messing up str() and R Studio) and replaced with head.tableby() and tail.tableby() (the original purpose to having length() defined).
Implemented sort.tableby(), which errors out if the object has strata or multiple by-variables, and then runs the default method.
modpval.tableby() now requires the first column to be the by-variable, and if the object has a strata, the second column is required to be the corresponding strata value.
tests.tableby() now returns a data.frame with a by-variable column and (if applicable) a strata column.
na.tableby() now generates functions. The “lhs=” argument determines whether to remove NAs from the first column of the data. If tableby() detects a one-sided formula, it sets this to FALSE. Both versions now remove rows with NAs in the strata column (when applicable).
na.paired() now removes rows with NAs in the strata column (when applicable).
padjust.tableby() and padjust.summary.tableby() will error if fed an object with strata or multiple by-variables.
as.data.frame.tableby() and as.data.frame.summary.tableby() gain the list.ok= argument, for when there are multiple left-hand-sides.
Added logic to statistical tests to detect missing levels of the by-variable.
Fixed a bug with LaTeX formatting involving the align= argument to knitr::kable().
Passing term.name=TRUE to summary.tableby() or as.data.frame.summary.tableby() will now put the term name in the top left corner of each table.
Added functionality for multiple by-variables and strata terms. This required completely reworking the innards of the modelsum object.
na.modelsum() now removes rows with NAs in the strata column (when applicable).
as.data.frame.modelsum() and as.data.frame.summary.modelsum() gain the list.ok= argument, for when there are multiple left-hand-sides.
Passing term.name=TRUE to summary.modelsum() or as.data.frame.summary.modelsum() will now put the term name in the top left corner of each table.
Added functionality for multiple by-variables. This required completely reworking the innards of the freqlist object.
Changed the argument groupBy= to strata= to match tableby() and modelsum().
Added merge.freqlist() and as.data.frame.summary.freqlist(). Note that [.arsenal_table() now allows you to remove the cumulative and percent columns.
Note that labels<-.arsenal_table() no longer supports unnamed labels, but now accepts labels for the frequency, cumulative, and percent columns for freqlist objects.
Removed the digits=, sparse=, single=, and dupLabels= arguments from freqlist() and summary.freqlist(). These are now arguments to the new freq.control(), and are passed through the dots (for backwards compatibility). freqlist() also gained the control= argument for objects from freq.control().
as.data.frame.freqlist() no longer rounds its digits, nor does it label its columns. Use as.data.frame.summary.freqlist() for that instead. It also gained the list.ok= argument, for when there are multiple left-hand-sides.
includeNA(): removed the “character” and “numeric” methods, replacing them with a default. In particular, this changes the default label of what used to be includeNA.numeric().
Changed the output to an .Rmd file instead of a .md. This shouldn’t break anything, unless you’re relying on the intermediate file.
Replaced the keep.md= argument with keep.rmd= (since we’re not using .md files directly anymore).
Added the function code.chunk() to write executable code chunks to the .Rmd.
fixed a bug with specifying individual statistics for character and logical vectors. (#142)
tableby() and paired(): added a function (notest()) to prevent performing a test on an individual variable. (#144)
summary.tableby(): changed NA p-values to blanks. (#145)
summary.tableby(): added documentation on bookdown. (#147)
Wrote padjust(), an S3 wrapper for p.adjust(), which can also adjust tableby() (and hence paired()) objects. (#146)
print.summary.tableby(), as.data.frame.summary.tableby(): added width= and min.split= as formal arguments.
Fixed medSurv() which was calculating the median survival incorrectly, and removed rangeTime(), an ambiguous survival statistic. (#32)
summary.modelsum(): added documentation on bookdown. (#147)
print.summary.modelsum(), as.data.frame.summary.modelsum(): added width= and min.split= as formal arguments.
summary.freqlist(): added documentation on bookdown. (#147)
formulize(): added support for names and calls. (#152, #153)
There are a few non-backwards-compatible updates.
Major changes:
Added family="ordinal" to do ordinal logistic regression using MASS::polr(). (#130)
Added family="negbin" to do negative binomial regression using MASS::glm.nb(). (#15)
Added support for ordinal regressors and adjustment terms (by adding support for their associated contrasts). (#133)
Allowed for LaTeX formatting. NOTE: this changes (hence possibly breaking old code) the formatting behavior when specifying text="html". (#123)
summary.compare.data.frame(): Added a small summary of the input data.frames as the first table. (#126) NOTE: this changes the structure and printed output of summary()!
Allowed for LaTeX formatting. NOTE: this changes (hence possibly breaking old code) the formatting behavior when specifying text="html". (#123)
Added functionality to in-formula functions to allow the specification of digits= (etc.), numeric.simplify=, and cat.simplify= for a single variable. (#107, #134, #139) NB: this has the following breaking changes:
There is no longer a “name” element in the “tableby” object’s x-specifications; instead it’s now called “term”
An element for “variable”, containing the variable name, was added to the “tableby” object’s x-specifications.
An element for “control.list”, recording format specifications, was added to the “tableby” object’s x-specifications.
The output of as.data.frame.tableby() now reports only the variable name in the “variable” column when using internal statistical functions (like anova() and chisq()–it used to include the function call as well).
The output of as.data.frame.tableby() no longer includes category levels in the “term” column; instead, it contains the statistical function used (like countpct() and count()).
Smaller changes:
Added support for calls to the family functions, in case a different link function (for example) is required.
Properly propogated “term.name” to the as.data.frame() method. (#128)
Fixed formatting of error about unsupported families.
Removed “concordance” from the list of supported statistics for Poisson regression. This shouldn’t break much code, as specifying “concordance” wouldn’t have shown anything anyway.
Fixed a bug with formatting one-per-model p-values. (#140)
Added a warning for when by-variable contains empty string. (#121)
Properly propogated “term.name” to the as.data.frame() method. (#127)
Fixed an error that sometimes occured when using categorical statistics on numeric variables. (#137)
Added an argument to tableby.control() to simplify one-line numeric output. (#139)
Added a warning for when by-variable contains empty string. (#121)
Added error to na.paired("in.both") when there are more than two time points.
compare.data.frame():
Updated documentation where appropriate.
This is a mostly backwards-compatible update.
Major changes:
Implemented the function paired() for paired data, based on tableby(). This comes with a very light vignette.
tableby(): Change default for chi-square tests to correct=FALSE. Note that this only affects the 2 x 2 case.
Smaller changes:
Added the a default method for label assignment (labels<-). (#118)
Update formulize() to handle non-syntactic names in the data= argument. (#105)
Implemented is.tableby() and is.summary.tableby(). (#112)
Changed how arguments are passed to stat tests.
Issue a warning if statistical tests are requested when there are fewer than two by-levels. (#108)
Fixed trend() and anova() to return an object instead of the object being invisible.
Implemented the stat functions binomCI() and rowbinomCI() for binomial confidence intervals. (#117)
summary.tableby(): ignore row.names when printing summary objects.
summary.tableby() and as.data.frame.summary.tableby(): added a term.name= argument. (#110)
summary.tableby(): pass text="html" to get better formatting in R shiny. (#114)
Implemented Ops.tableby() to compare tableby objects to a number (p-value). (#96)
Implemented xtfrm.tableby(), so that tableby objects can be sorted by p-value. (#96)
Implemented length.tableby(), so that head() and tail() also work. (#97)
Implemented countcellpct() for counts and cell percentages. (#106)
Implemented is.modelsum() and is.summary.modelsum(). (#111)
summary.modelsum(): ignore row.names when printing summary objects.
summary.modelsum() and as.data.frame.summary.modelsum(): added a term.name= argument. (#109)
Allow for weights= and na.action=. (#99)
Fixed problem with column names which are prefixes of other column names. (#98)
Fixed problem with column labels overwriting categorical levels which also match. (#100)
summary.modelsum(): pass text="html" to get better formatting in R shiny. (#115)
Implemented is.freqlist() and is.summary.freqlist(). (#113)
Fixed a problem with a column named “method”. (#95)
summary.freqlist(): ignore row.names when printing summary objects.
Update documentation.
This is a mostly backwards-compatible update.
Major changes:
summary.freqlist() now returns an object. print.summary.freqlist() prints the resulting object. (#76)Smaller changes:
Fixed a bug in print.summary.tableby() involving the lack of wrapping for long labels. (#59)
as.data.frame.summary.tableby() has been implemented, and print.summary.tableby() updated accordingly. (#60)
Fixed a bug with assigning labels for tableby objects when some value names are unmatched. (#64)
Fixed a bug in print.summary.tableby() with regards to knitting in R Markdown with plots immediately following. (#65)
Fixed a bug in print.summary.tableby() with regards to PDF output in bookdown. (#69)
Changed tests.tableby() to return a data.frame without factors.
Fixed a bug with kwt(), anova(), and summary.tableby() formatting when all inputs are NA. (#81)
Fixed a bug with survival statistics when all inputs are NA. (#82)
Fixed a bug with logrank() when all inputs are NA. (#83)
Fixed how arguments get passed to stats functions in tableby(). In particular, this affected the times= option. (#84)
Fixed quantile functions q1q3() and medianq1q3() for dates. (#87)
Fixed a bug in print.summary.modelsum() involving the lack of wrapping for long labels. (#59)
Fixed a bug in print.summary.modelsum() with regards to knitting in R Markdown with plots immediately following. (#66)
Fixed a bug in print.summary.modelsum() with regards to PDF output in bookdown. (#70)
as.data.frame.summary.modelsum() has been implemented, and print.summary.modelsum() updated accordingly. (#74)
Fixed a bug in summary.freqlist() with regards to knitting in R Markdown with plots immediately following. (#67)
Fixed a bug in summary.freqlist() with regards to PDF output in bookdown. (#71)
Other:
includeNA() now has dots, and the factor method gained a first= argument. (#62)
includeNA() also gained a numeric method, especially for use in freqlist.formula(). (#78)
Fixed a bug in print.summary.compare.data.frame() with regards to PDF output in bookdown. (#72)
This is a non-backwards-compatible update.
Major changes:
freqlist() is now an S3 generic. (#35)
The first argument to freqlist() has changed from tab= to object=, for S3 consistency. (#35)
freqlist.formula() was implemented, piggybacking off of stats::xtabs(). (#35)
The title= argument was added to summary.freqlist(). Passing caption= through the dots to knitr::kable() will now throw an error. (#34)
as.data.frame.tableby() has been totally overhauled. It now uses list-columns to give exact values.
summary.tableby() has been totally overhauled.
Most arguments are no longer named, but passed through the dots.
It now returns an object, abusing in the process as.data.frame.tableby(). print.summary.tableby() prints the resulting object. (#8)
print.summary.tableby() now uses knitr::kable() to print results, instead of internal functions. As such, non-exported helper functions have all been removed.
The arguments to tableby.control() have changed. Warnings will be issued for using old arguments.
nsmall= has been removed. digits= takes its place.
nsmall.pct= and digits.test= have been renamed to digits.pct= and digits.p=, respectively.
There’s now an option for count digits (digits.count=).
format.p= has been added, to turn on formatting of p-values.
q1q3 is no longer a default continuous statistic.
NAs can be included in percents using includeNA(). (#57)
Some additional survival summary functions are now available. (#32)
It is now possible to report row-percents using countrowpct(). (#9)
modelsum() has been totally overhauled:
It now uses stats::model.frame() and unevaluated calls instead of custom-creating data.frames.
as.data.frame.modelsum() has been totally overhauled. It now gives exact values instead of formatted values.
summary.modelsum() has been totally overhauled.
Most arguments are no longer named, but passed through the dots.
It now returns an object, abusing in the process as.data.frame.modelsum(). print.summary.modelsum() prints the resulting object. (#37)
print.summary.modelsum() now uses knitr::kable() to print results, instead of internal functions. As such, non-exported helper functions have all been removed.
print.summary.modelsum() now strips leading and trailing whitespace from labels to fix formatting with text=FALSE. (#48)
labelTranslations= no longer accepts labels for the statistics columns. Use modelsum.control(stat.labels=) for this instead.
The arguments to modelsum.control() have changed. Warnings will be issued for using old arguments.
nsmall= has been removed. digits= takes its place.
nsmall.ratio= and digits.test= have been renamed to digits.ratio= and digits.p=, respectively.
format.p= has been added, to turn off formatting of p-values.
stat.labels= has been added, to label the statistics columns.
"[.modelsum"() now has a named argument, and accepts character, numeric, and logical subscripts.
Smaller changes:
freqlist() will no longer issue a warning about using the deprecated varnames= argument.
print.freqlist() has been made slightly more concise. The only change to the printed output is making “variables” singular (“variable”) when only one variable is present.
tableby() has also been made slightly more concise and easier to read.
A bug was fixed when trying to specify “stats” attributes for categorical variables. (#39)
A bug was fixed relating to unnamed passing of arguments for medianrange(). (#49)
as.data.frame.tableby() no longer breaks with date ranges. (#10)
as.data.frame.tableby() no longer breaks with both count() and countpct(). (#51)
labels<-.tableby() no longer breaks for unmatched variables. (#53)
labels<-.tableby() now accepts NULL to set all labels to NULL. (#52)
The function Nmiss2() is now exported for tableby(). Note that it is exactly the same as Nmiss(), but is interpreted differently in tableby().
modelsum() has been made slightly more concise.
“Nmiss2” has been added to the modelsum() object and no longer replaces “Nmiss”.
as.data.frame.modelsum() no longer turns “<0.001” into NA. (#31)
as.data.frame.modelsum() no longer breaks if there are too many adjustment variables. (#12)
summary.modelsum() now has working labels for factors. (#13)
"labels<-.modelsum"() has been tweaked slightly. The results shouldn’t change.
print.modelsum() has been fixed to show its y-variable. (#33)
Documentation and vignettes have been re-reviewed and updated where appropriate.
Tests have been updated to reflect major changes.
This is a patch to fix an error appearing with R-devel. We anticipate releasing v1.0.0 soon, which will not be backwards-compatible.
Updated freqlist() to be more efficient. (#20)
freqlist() now allows named labels.
Fixed one-sided formula detection in tableby() when used with formulize(). (#21)
Changed environment of formula returned by formulize().
Added variable-name subsetting to [.tableby(). One can now subset by logicals, numerics, or character vectors.
Fixed a bug in tableby() related to zero-length factor levels. (#22)
Fixed a bug in tableby() and modelsum() when calling them without loading the package. (#25)
Allowed nsmall = and digits = to be 0, for rounding to integers. (#23)
Added the yaml package as a suggested package.
Added write2() methods for compare.data.frame() objects. (#27)
Updated documentation.
Code all now in GitHub; issues can now be submitted there. Checking is now performed automatically on Travis-CI.
Included documentation for getting a caption with write2() and freqlist(). (#16)
Fixed subsetting in modelsum(). (#14)
Fixed subset dropping labels in tableby() and modelsum() with new function keep.labels() to make labels “stick”. (#1)
Added a vignette discussing labels.
Add compare.data.frame(), with an accompanying vignette.
Updated labelTranslation documentation
Changed format.translations list to defaultLabelTranslations() function, and removed labels for sex and age.
Tweaked labels<-.freqlist to allow for list input.
tableby() vignette.Tweaked freqlist() to behave better with data.frame subsetting and the infamous drop=TRUE.
Added dupLabels= argument to summary.freqlist(). (#6)
Added a label for medianq1q3() in tableby.control(). (#4)
Changed the ... vs. control= action in tableby() and modelsum() to fix which arguments are used over which other arguments. (#5)
Moved import broom and stringr to “Suggests”, adding magrittr for piping.
Added piping to write2*() vignette.
Several tableby() fixes for counts and percents.
New options in tableby.control() to modify the statistical tests performed. (#2)
The CRAN release of the locally stable 0.2.3. For NEWS on this version, see below.
Tweaked the DESCRIPTION to include write2().
Fixed ordered stats in tableby().
Fixed a problem with as.data.frame.modelsum() introduced in v0.2.1.
Added count() function for tableby stats.
Two problems with survival models in modelsum() have been resolved.
write2.list() has been implemented, allowing multiple tables output into a single document. write2.verbatim() has been implemented, allowing monospaced output. The vignette has been updated along with all documentation.
The summary() output for tableby and modelsum objects now prints an extra blank header line, for better use inside R Markdown code chunks.
Two bugs in tableby() were corrected.
Vignettes have been updated.
write2() is now exported and supports all output formats supported by rmarkdown::render(). There is now a vignette for it and the S3 methods have been expanded to handle more inputs, including knitr::kable(), xtable::xtable(), and pander::pander_return().
Fixed a bug in summary.modelsum().
broom and stringr have been moved to imports instead of depends.
Several minor tweaks to freqlist for better readability and performance.
First release contains major functions tableby(), modelsum(), freqlist(), formulize(), and write2....
Vignettes are included for tableby(), modelsum(), and freqlist().