Runs all eight LTA trait functions at once and returns a single combined tibble. The eight traits are: power, affiliation, distrust, conceptual complexity, task orientation, self-confidence, nationalism, and control.
Arguments
- own_entity
A character string identifying the speaker's country or entity (e.g.,
"United States").- text
A character string containing the speech text to analyse.
- bootstrap
Logical. If
TRUE, returns bootstrap means and variances instead of raw counts. Default isFALSE.- B
Number of bootstrap iterations. Default is
1000.
Value
A one-row tibble::tibble.
When bootstrap = FALSE, columns include raw counts (P, OP, A,
OA, S, OS, HC, LC, TI, IP, SC, OSC, N, ON, IC,
OC) plus trait proportions (Pp, D, C, Ta, Ss, Na, B).
When bootstrap = TRUE, columns include bootstrap means and variances
for the raw counts (meanP, varP, meanOP, varOP, ...) plus trait
proportions and their delta-method variances (Pp, varPp, D, varD,
C, varC, Ta, varTa, Ss, varSs, Na, varNa, B, varB).
Examples
if (FALSE) { # \dontrun{
spacyr::spacy_initialize()
get_lta(own_entity = "United States", text = "We will defend our nation.")
get_lta(own_entity = "United States", text = "We will defend our nation.",
bootstrap = TRUE, B = 500)
} # }
