- Fix CRAN check issues.
- New
cormatrix_to_excel()
function for exporting correlation matrices to Excel with color formatting. - This release changes the licensing model of
{correlation}
to an MIT license.
-
Minor improvements and code revisions due to changes in other packages.
-
Default color scheme for correlation matrices switched to use red for negative values and blue for positive values.
-
distance_mahalanobis()
is deprecated. Useperformance::check_outliers(method = "mahalanobis_robust")
instead. -
The minimum needed R version has been bumped to
3.6
.
-
Fixes breakages caused by updates to parameters package (#269).
-
The visualization recipe (plots) for redundant correlation matrices was improved, so self-correlations will no longer be labelled and get a neutral color.
-
The
print()
method redundant correlation matrices no longer shows the diagonal with self-correlations.
- Maintenance release for datawizard package update.
- Maintenance release for datawizard package update.
robust
argument, which was deprecated in favour ofranktransform
in0.6.1
release, has now been removed.
- Bug fix in
plot()
methods
- Removes
winsorize()
function, which now lives indatawizard
package.
- New
cor_smooth()
function for smoothing non-positive definite matrices.
- When
data2
was specifiedcorrelation()
was over-correcting for all of the combinations of variables in the full x and y tables, rather than in just the ones specified (#195).
-
correlation()
gains a new argumentrename
to rename variables. -
simualte_simpson()
function is now re-exported frombayestestR
package. -
plot()
for"easycor_test"
objects now produces an annotated scatter plot.
-
simualte_simpson()
: The groups are now named after the pattern"G_"
(can be altered with thegroup_prefix
argument). -
robust
argument deprecated in favour ofranktransform
.
-
correlation
gains two new arguments:select
andselect2
to select specific variables from dataframes to compare (#146). -
as.matrix
method works for grouped correlations (#148). -
New
as.list
method returns a list of various matrices related to correlation analysis (correlation, number of observations, p-values, etc.).
- The
0.6.0
release introduced a bug in Winsorized Pearson correlation where the missing values were removed from the entire data, instead for each pair (#151). This is now fixed.
-
Added
verbose
arguments to some functions, to toggle warnings on/off. -
cor_test()
(and hence,correlation()
) now default thewinsorize
argument to.1
when it's set toTRUE
. -
The
Method
column in output dataframe is now more explicit about the correlation method used.
- Winsorization doesn't fail when
NA
s are present (#130).
- Fixed CRAN check issues due to changes in dependent packages.
-
Added
winsorize()
function. -
Added
winsorize
argument for Winsorized correlations. -
Added
method = "somers"
tocorrelation()
, to compute Somers's Dxy rank correlation for binary outcomes. -
New function
display()
, to print output into different formats. Currently, only markdown is supported.print_md()
is an alias fordisplay(format = "markdown")
.
- Fix bug in
cor_to_p()
that gave slightly different test statistics.
-
Don't error if less than 3 valid observations (#100).
-
Add "gaussian" rank method.
-
Add "gamma" method.
-
Add "hoeffding" method.
-
Add "blomqvist" method.
-
Added
Method
column to Bayesian correlations. -
Fix bug when
robust=TRUE
(#87).
-
Added confidence intervals CI support for Spearman and Kendall (#80)
-
Improved documentation (#45, #63)
-
Removed CI threshold column from
distance_mahalanobis()
-
Fixed bug (#76)
- Some changes were made.
- Some bugs were fixed.
-
Initial CRAN release.
-
Add
plot()
-method forsummary()
.
-
Fixed issue in
correlation()
for some edge cases wheninclude_factors = TRUE
. -
Fixed issue in
correlation()
for correlation coefficients with less than four complete pairs of observations (in such cases,cor_test()
now returnsNA
for the confidence intervals).