Make colpair_map() more robust to input column
names, with the exception of “.data” and “.env” (@jameslairdsmith, #131).
correlate() now removes non-numeric columns from
data frame inputs (@thisisdaryn, #139).
autoplot.cor_df() method have been added for quick
generation of correlation chart.
network_plot() now allows the user the option to map
the color range to the range of correlations that are in the input
rdf (@thisisdaryn, #158).
Fix EOL issues and class attribute (@krlmlr, #93 and #90)
Handle correlation of exactly zero or 1 in
network_plot() (@s-scherrer, #89)
Add .order argument to rplot() with
options “default” and “alphabet” plus improved documentation (@mattwarkentin, #99
and @thisisdaryn,
#114)
Make network_plot() more robust, for example to
highly correlated data (@thisisdaryn, #107)
New colpair_map() allows for column comparisons
using the values returned by an arbitrary function (@jameslairdsmith,
#94).
correlate() now works with single-column data.frames
and numeric vectors (@antoine-sachet, #122). Note the
diagonal argument is ignored in these 2 cases.
network_plot() now works with cor_df
objects with only 1 or 2 columns (@antoine-sachet, #122)
The first column of a cor_df object is now named
“term”. Previously it was named “rowname” (@thisisdaryn, #117).
Adds remove.dups argument to stretch().
It removes duplicates with out removing all NAs (#57)
Adds dice() function, wraps
focus(x,..., mirror = TRUE) (#64)
Adds retract() function, opposite of
stretch() (#65)
Improves correlate() for database backed
tables
Fixes compatibility issues with dplyr
Improves support for tbl_sql() objects
Switches correlation calculation for tbl_spark()
tables to sparklyr::ml_corr()
Adds package level doc (@jsta, #66)
Fixes typo on error message (@jsta)
Removes Database vignette. Plan to re-add later on (#76)
Minor updates to Using corrr vignette
Fixes test and CRAN issues by removing
Ops.cor_df().
Designates Edgar Ruiz as the new package maintainer
The diagonal argument of as_matrix and
as_matrix.cor_df is now an optional argument rather than
set to 1 by default #52
as_cordf will coerce lists or matrices into correlation
data frames if possible.focus_if enables conditional variable selection.+ or
-) with correlation data frames.rplot and
network_plot) will attempt to coerce objects to a
correlation data frame (via as_cordf) if needed, making it
possible to directly use these functions with other square-matrix-like
objects.repel option added to network_plot
(default = TRUE).curved option added to network_plot
(default = TRUE).correlate() now prints a message about the
method and use parameters. Can be silenced
with quiet = TRUE.correlate() now supports data frame with a SQL back-end
(tbl_sql)legend = TRUE (now the default setting),
rplot and network_plot generate a single,
unlabeled legend referring to the size of the correlations.correlate() is now an S3 method so that it can adapt
to x’s object type.
During the development of this version, ggplot v2.2.0 was released. Many changes in the plotting functions have been made to handle new features in the updated version of ggplot2.
Improvements to the package folder structure
fashion() with new
argument leading_zeros = TRUE.network_plot() and rplot():
legend to display a legend mapping correlations to size
and colour.colours (or colors) to change colours in
plot.network_plot() no longer plots wrong colours if only
positive correlations are included.network_plot() changed to match
rplot().network_plot() the correlations.focus_() for standard evaluation version of
focus().fashion() will now attempt to work on any object (not
just cor_df), making it useful for printing any data frame,
matrix, vector, etc.print_cor argument added to rplot() to
overlay the correlations as text.na_omit argument in stretch() changed to
na.rm to match gather_().