Nothing
## ---- include = FALSE---------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----setup, include = FALSE---------------------------------------------------
library("tibble")
library("dplyr")
library("ggplot2")
## ----single-filter-display, eval = FALSE--------------------------------------
# library("rmdfiltr")
# add_citeproc_filter(args = NULL)
## ----single-filter, echo = FALSE----------------------------------------------
library("rmdfiltr")
add_citeproc_filter(args = NULL, error = FALSE)
## ----nested-filters-display, eval = FALSE-------------------------------------
# add_wordcount_filter(add_citeproc_filter(args = NULL))
## ----nested-filters, echo = FALSE---------------------------------------------
add_wordcount_filter(add_citeproc_filter(args = NULL, error = FALSE), error = FALSE)
## ----word-counts, warning = FALSE, fig.dim = c(6, 3.5), fig.align = "center", echo = FALSE----
tribble(
~method, ~text, ~part, ~word_count,
"rmdfiltr", "Simple", "Body", 10830,
"rmdfiltr", "Simple", "References", 2321,
"rmdfiltr", "Complex", "Body", 1749,
"rmdfiltr", "Complex", "References", 322,
"wordcountaddin", "Simple", "Body", 10761,
"wordcountaddin", "Simple", "References", NA,
"wordcountaddin", "Complex", "Body", 1407,
"wordcountaddin", "Complex", "References", NA,
"texcount", "Simple", "Body", 10448 + 95,
"texcount", "Simple", "References", 2881,
"texcount", "Complex", "Body", 944 + 31,
"texcount", "Complex", "References", 400,
"Word", "Simple", "Body", 10882,
"Word", "Simple", "References", 2407,
"Word", "Complex", "Body", 1712,
"Word", "Complex", "References", 329,
"Pages", "Simple", "Body", 10812,
"Pages", "Simple", "References", 2777,
"Pages", "Complex", "Body", 1709,
"Pages", "Complex", "References", 429,
"wordcounter.net", "Simple", "Body", 10605,
"wordcounter.net", "Simple", "References", 2333,
"wordcounter.net", "Complex", "Body", 1713,
"wordcounter.net", "Complex", "References", 324
) %>%
group_by(text, part) %>%
mutate(rel_word_count = word_count / max(word_count, na.rm = TRUE) * 100) %>%
ggplot(aes(x = method, y = rel_word_count, fill = method)) +
geom_bar(stat = "identity") +
geom_text(aes(label = round(rel_word_count), color = method), nudge_y = -12) +
geom_text(aes(label = prettyNum(word_count, big.mark = ","), color = method), nudge_y = -28 , size = 2.2) +
scale_fill_viridis_d() +
scale_color_manual(values = rep(c("white", "black"), each = 3)) +
facet_grid(part ~ text) +
labs(x = "Method", y = "Relative word count") +
theme_bw() +
theme(
axis.text.x = element_text(angle = 45, hjust = 1)
, legend.position = "none"
)
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