Nothing
scatter_legend_dots_alpha
and scatter_legend_bg_dots_alpha
parameters for the topicsPlot()
function. logistic_regression
. occurance_rate
to topicsGrams()
removal_mode
, removal_rate_most
and removal_rate_least
to topicsGrams()
ngram_window = c(1)
now supported by topicsDtm()
topicsPlot()
with ngramssize
in the dot legend will be based on prevalence
if scatter_legend_dot_size = "prevalence". And the popouts are not transparent.generate_scatter_plot
.highlight_topic_words
is set to NULL
in the topicsPlot()
function.topicsGrams()
, including removing top_n
and treating
n-grams type differently.stopwords
function to topicsGrams()
. pmi
calculation. ngrams_max
parameter in `topicsPlot()```.allowed_word_overlap
in topicsPlot()
for plotting the most prevalence.highlight_topic_words
parameter to add different colours for a word list. stopwords
removal for topicsGram()
.ngrams_max
functionality to topicsPlot()
.save_dir
and load_dir
from all function; only topicsPlot()
now has the save_dir
as an option. prevalence
.p_adjust_method
to topicsPlots()
.scatter_show_axis_values
to the topcisPlot()
.n_most_prevalent_topics
. default
to linear_regression if not the variable only contains 0s and 1s; i.e., now different tests can be applied to different axes. dtm
for downstream use in other functions.topicsPred()
function including num_iteration
, sampling_interval
, burn_in
.create_new_dtm
for creating a new dtm
for new data topics
dimension for training using textTrainRegression()
. topicsTest()
incl. x_variable, y_variable and controlspmi_threshold
(experimental) to topicsDtm()
split
procedure in the topicsDtm()
topicsDtm()
p_threshold
to p_alpha
p_alpha
from the topicsTest()
function to the topicsPlots()
functiontopicsTest()
text
-packagetopicsPlot()
.topicsTest().
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