Using The glue Package In R

Kevin Feasel

2018-08-24

R

Evgeni Chasnovski shows the glue package and also works around some trickiness with NULL:

Recently, fate lead me to try using {glue} in a package. I was very pleased to how it makes code more readable, which I believe is a very important during package development. However, I stumbled upon this pretty unexpected behavior:

y <- NULL
paste("I have", x, "apples and", y, "oranges.")
## [1] "I have 10 apples and oranges."
str(glue("I have {x} apples and {y} oranges."))
## Classes 'glue', 'character' chr(0)

If one of the expressions is evaluated into NULL then the output becomes empty string.

glue reminds me of string formatting in .NET languages.  On the whole, that’s a good thing.

Related Posts

Visualizing with Heatmaps in R

Anisa Dhana shows how you can create a quick heatmap plot in R: To give your own colors use the scale_fill_gradientn function.ggplot(dat, aes(Age, Race)) + geom_raster(aes(fill = BMI)) + scale_fill_gradientn(colours=c("white", "red")) This is a quick example using ggplot2 but there are other heatmap libraries available too.

Read More

Predicting Intermittent Demand

Bruno Rodrigues shows one technique for forecasting intermittent data: Now, it is clear that this will be tricky to forecast. There is no discernible pattern, no trend, no seasonality… nothing that would make it “easy” for a model to learn how to forecast such data. This is typical intermittent demand data. Specific methods have been […]

Read More

Categories

August 2018
MTWTFSS
« Jul Sep »
 12345
6789101112
13141516171819
20212223242526
2728293031