Description Usage Arguments Value Examples
Append the estimated topic proportions from a fitted LDA model
to the document covariate table to create the data structure needed for
TS
.
1  prep_TS_data(document_covariate_table, LDA_models, mods, i = 1)

document_covariate_table 
Document covariate table (rows: documents,
columns: time index and covariate options). Every model needs a
covariate to describe the time value for each document (in whatever
units and whose name in the table is input in 
LDA_models 
List of LDA models (class 
mods 
The 
i 

Class data.frame
object including [1] the time variable
(indicated in control
), [2] the predictor variables (required by
formula
) and [3], the multinomial response variable (indicated
in formula
), ready for input into TS
.
1 2 3 4 5 6 7 8 9  data(rodents)
document_term_table < rodents$document_term_table
document_covariate_table < rodents$document_covariate_table
LDAs < LDA_set(document_term_table, topics = 2:3, nseeds = 2)
LDA_models < select_LDA(LDAs)
weights < document_weights(document_term_table)
formulas < c(~ 1, ~ newmoon)
mods < expand_TS(LDA_models, formulas = ~1, nchangepoints = 0)
data1 < prep_TS_data(document_covariate_table, LDA_models, mods)

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