Tidily evaluated ggplot2

July 3, 2018

(This article was first published on HighlandR, and kindly contributed to R-bloggers)

Test driving the new release of ggplot2 –

A new release of ggplot2

Now that tidy evaluation is baked into ggplot2, as of TODAY, let’s take it for a spin:

ggplot2 3.0.0 %>%
create function %>%
test function %>%


data <- list(fdeaths,mdeaths,ldeaths) #time series data- needs prep

names(data)[1:3] <- c("fdeaths","mdeaths","ldeaths")

data <- as_tibble(data)

startdate <- as.Date('1974-1-1')

data$date <- seq.Date(startdate,by = 'month',length.out = 72)

newdata <- tidyr::gather(data, key = key, value = value,-date)

newdata$value <- as.numeric(newdata$value)

# create generic function

gtest <- function(df,x,y, group) {
  x_quo <- enquo(x)
  y_quo <- enquo(y)
  group_quo <- enquo(group)
  p <- ggplot(df,aes(x = !!x_quo, y = !!y_quo)) +   #bangin'   
    geom_line(colour = "blue", group = 1) + 
    geom_point(colour = "blue") +
    facet_wrap(group_quo, ncol = 3) #look Ma, no need to bang bang here!
  p <- p + ggtitle(label = "Easy Tidy Eval in ggplot 3.0.0",
                   subtitle = "ggplot with tidy evaluation & facetting with no strings")
  p <- p + labs(x = NULL, y = NULL, caption = "") +

Let’s test it:




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