Text mining frequency with ggplot - r

Question

I am working with a dataset called HappyDB for a class presentation and analyzing demographic differences in word frequency. I'm using tidytext for most of the analyses, and using their online guide to create most of my visuals. However, I'm running into a problem with the code to create the frequency plot of words with labels. My dataset is structured differently from theirs, and I thought I was accounting for it but I evidently was not. This is their sample code to generate the graph (comparing Jane Austen with the Bronte sisters and H.G. Wells)
library(tidyr)
frequency <- bind_rows(mutate(tidy_bronte, author = "Brontë Sisters"),
mutate(tidy_hgwells, author = "H.G. Wells"),
mutate(tidy_books, author = "Jane Austen")) %>%
mutate(word = str_extract(word, "[a-z']+")) %>%
count(author, word) %>%
group_by(author) %>%
mutate(proportion = n / sum(n)) %>%
select(-n) %>%
spread(author, proportion) %>%
gather(author, proportion, `Brontë Sisters`:`H.G. Wells`)
library(scales)
# expect a warning about rows with missing values being removed
ggplot(frequency, aes(x = proportion, y = `Jane Austen`, color = abs(`Jane Austen` - proportion))) +
geom_abline(color = "gray40", lty = 2) +
geom_jitter(alpha = 0.1, size = 2.5, width = 0.3, height = 0.3) +
geom_text(aes(label = word), check_overlap = TRUE, vjust = 1.5) +
scale_x_log10(labels = percent_format()) +
scale_y_log10(labels = percent_format()) +
scale_color_gradient(limits = c(0, 0.001), low = "darkslategray4", high = "gray75") +
facet_wrap(~author, ncol = 2) +
theme(legend.position="none") +
labs(y = "Jane Austen", x = NULL)
And that code generates this plot:
I'm hoping to emulate this with demographics in my dataset, but keep getting errors. Here is my code, which uses a dataset that I have already tidied:
library(dplyr)
library(tidyr)
library(ggplot2)
library(tidytext)
library(stringr)
windowsFonts(Franklin=windowsFont("Franklin Gothic Demi"))
marriedmen <- tidy_hm[which(tidy_hm$marital =="married" &
tidy_hm$gender == "m"),]
marriedwomen <- tidy_hm[which(tidy_hm$marital =="married" &
tidy_hm$gender == "f"),]
singlemen <- tidy_hm[which(tidy_hm$marital =="single" &
tidy_hm$gender == "m"),]
frequency <- bind_rows(mutate(marriedmen, status = "Married men"),
mutate(marriedwomen, status = "Married women"),
mutate(singlemen, status = "Single men")) %>%
count(status, word) %>%
group_by(status) %>%
mutate(proportion = n / sum(n)) %>%
select(-n) %>%
spread(status, proportion) %>%
gather(status, proportion, `Married women`:`Single men`)
library(scales)
# expect a warning about rows with missing values being removed
ggplot(frequency, aes(x = proportion, y = 'Married men', color = abs(`Married men` - proportion)) +
geom_abline(color = "gray40", lty = 2) +
geom_jitter(alpha = 0.1, size = 2.5, width = 0.3, height = 0.3) +
geom_text(aes(label = word), check_overlap = TRUE, vjust = 1.5) +
scale_x_log10(labels = percent_format()) +
scale_y_log10(labels = percent_format()) +
scale_color_gradient(limits = c(0, 0.001), low = "darkslategray4", high = "gray75") +
facet_wrap(~status, ncol = 2) +
theme(legend.position="none") +
labs(y = NULL, x = NULL)
But I keep getting this error:
Error in log(x, base) : non-numeric argument to mathematical function
I tried removing the scale rows, but that caused a bunch of data to get eliminated and the plot didn't look anything like it was supposed to, and had no line, labels, or colors. I'm pretty new to r and coding in general so any help is appreciated.