knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
R package: Amusing Sentences Generator. Includes addin.
Generates amusing feedback to lighten the mood of statisticians. Contains addin as well as sentence generator functions.
Pass new structures and word lists to generate unique sentences.
Rate sentences on a given question and rating scale. Simulate user ratings.
By Ludvig R. Olsen,
Cognitive Science, Aarhus University.
Started in March, 2017
Contact at: r-pkgs@ludvigolsen.dk
Main functions:
install.packages("devtools")
devtools::install_github("LudvigOlsen/bhappyr")
Quickly generate a (hopefully) amusing sentence.
# Attach packages library(bhappyr) generateHappyFeedback() generateHappyFeedback() generateHappyFeedback()
Pass new structures and word lists and turn off internal structures and word lists.
# Attach packages library(bhappyr) library(dplyr) # %>% library(knitr) # kable() # Create structures st <- c("[salutation]! You are [positive_adj] today! ;)", "You [positive_vb_past] that code! [positive_adj]!") # Create list of word lists wl <- list("salutation" = c("Sir", "Mother", "Dear", "Friend"), "positive_adj" = c("beautiful", "bright", "smart"), "positive_vb_past" = c("accomplished","played", "modified")) ## Example 1 # Using internal structures + word lists # Generate 1 sentence generate_sentence() %>% kable() ## Example 2 # Providing structures # and not using internal structures # Generate 2 sentences generate_sentence(n = 2, structures = st, int_structures = FALSE) %>% kable() ## Example 3 # Providing word_lists and structures # and not using internal word_lists and structures # Generate 3 sentences generate_sentence(n = 3, structures = st, word_lists = wl, int_structures = FALSE, int_word_lists = FALSE) %>% kable()
Generate one or more sentences and ask user to rate them in the console.
Pass question, rating scale, and min/max rating labels.
Is able to randomize rating scales - either once or for every sentence. Randomize both min. and max. scale values, or only one of them.
Allows use of word types in max/min rating labels. Find a new word once or for every sentence.
# Attach packages library(bhappyr) library(dplyr) # %>% library(knitr) # kable() # Notice: The argument 'simulate' is set to TRUE # as the function is elsewise interactive, i.e. # it is waiting for user input. # Remove or set to FALSE when running as experiment! # Example 1 # Generate 1 sentence and rate it. rate_sentence(n=1, simulate = TRUE) %>% kable() # Example 2 # Generate 2 sentences and rate them. # Randomize scale max value on each run. # Set limits of scale, so max value can be # maximum 100 rate_sentence(n=2, rscale = c(1,'random'), rscale_limits = c(1,100), change_rscale = TRUE, simulate = TRUE) %>% kable() # Example 3 # Generate 3 sentences and rate them. # Use random max_rating label on each run. rate_sentence(n=3, max_rating = "[superb(upper)]", change_label = TRUE, simulate = TRUE) %>% kable()
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