text (development version)
topics 0.40.6
- addting
scatter_legend_dots_alpha and
scatter_legend_bg_dots_alpha parameters for the
topicsPlot() function.
- adding setting for having the dot sizes according to their
prevalence.
topics 0.40.5
- Fixing bug when plotting test based on
logistic_regression.
topics 0.40.3 - 0.40.4
- added
occurance_rate to topicsGrams()
- added
removal_mode, removal_rate_most and
removal_rate_least to topicsGrams()
ngram_window = c(1) now supported by
topicsDtm()- legend added to
topicsPlot() with ngrams
- The
size in the dot legend will be based on
prevalence if scatter_legend_dot_size = “prevalence”. And
the popouts are not transparent.
- Fix the issues of tick and label of the x-axis in 1-dim dot
legend.
- Able to save the pop-out grey topics in the target folder.
- Fix the bugs of rounding in
generate_scatter_plot.
- The default value of
highlight_topic_words is set to
NULL in the topicsPlot() function.
topics 0.40.2
- changed some behaviours in
topicsGrams(), including
removing top_n and treating n-grams type differently.
- added
stopwords function to
topicsGrams().
- fixed the
pmi calculation.
- fixed the
ngrams_max parameter in
`topicsPlot()```.
topics 0.40.1
- adding
allowed_word_overlap in
topicsPlot() for plotting the most prevalence.
- improving help texts
highlight_topic_words parameter to add different
colours for a word list.- added
stopwords removal for
topicsGram().
- added
ngrams_max functionality to
topicsPlot().
topics 0.40.
- removing
save_dir and load_dir from all
function; only topicsPlot() now has the
save_dir as an option.
- size of the dots in distributions can be plotted according to
prevalence.
- adding
p_adjust_method to
topicsPlots().
topics 0.30.5
- plots are not added as a list (and not only saved to the
folder)
- added
scatter_show_axis_values to the
topcisPlot().
- adding feature to plot the
n_most_prevalent_topics.
topics 0.30.4
- scaling controls with scale instead of manually resulting in
slightly different estimates. (but still same p-value and t-values)
- removed ridge regression, t-test and correlation codes since they
did not work
- removed automatic removal of NAs in the topics predictions (this
should be handled explicitly).
- topicsTest()
default to linear_regression if not the
variable only contains 0s and 1s; i.e., now different tests can be
applied to different axes.
topics 0.30.3
- saving settings in
dtm for downstream use in other
functions.
- adding parameters in the
topicsPred() function
including num_iteration, sampling_interval,
burn_in.
- implemented
create_new_dtm for creating a new
dtm for new data
- adding test for using
topics dimension for training
using textTrainRegression().
- removing forcing user to set save_dir on most functions (only need
to do it for topics functions).
topics 0.30.2
- fixing coherence bug
- showing prevalence and coherence for in results
- restructuring the files
topics 0.30.0
- Harmonizing parameters in
topicsTest()
incl. x_variable, y_variable and controls
- fixing error that variable names cannot be names with 1
underscore.
topics 0.22.1
- added
pmi_threshold (experimental) to
topicsDtm()
- removed the saving of raw data and the
split procedure
in the topicsDtm()
- adding function that name emphasized topics so the file name starts
with 0_.
- add a parameter to turn off the shuffling of the data in
topicsDtm()
topics 0.22
- change
p_threshold to p_alpha
- moved
p_alpha from the topicsTest()
function to the topicsPlots() function
- removed unnecessary list items from
topicsTest()
topics 0.21
- Changes related to compatability with the
text-package
topics 0.20
- Cleaning up code and ensuring improved compatibility across
platforms.
- Started the journey of improving documentation.
topics 0.10.1
Change
- Removing dim and grid_plot arguments in
topicsPlot().
- Fixing the color bugs.
- Adding possibility for the user to use gradient colors in all
plots.
- Adding a stop warning when the variable name contains an underscore
in
topicsTest().