Our Logo In R

Published: February 1, 2018

Hi all, so given our logo here at Jumping Rivers is a set of lines designed to look like a Gaussian Process, we thought it would be a neat idea to recreate this image in R. To do so we’re going to need a couple packages. We do the usual install.packages() dance (remember this step can be performed in parallel).

install.packages(c("ggplot2", "ggalt", "readr"))

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We’re also going to need the data containing the points for the lines and which set of points belongs to which line. There is a Gist available to download via Jumping Rivers. To read in the CSV file we’re going to use the raw data link.

(dd = readr::read_csv("", col_types = "ddc"))
## # A tibble: 40 x 3
##       x     y type
##   <dbl> <dbl> <chr>
## 1  36.9  -311 1
## 2  67.9  -332 1
## 3 179    -156 1
## 4 254    -259 1
## # ... with 36 more rows

The data set contains three columns, x, y and type, where type indicates the line. Let’s start with a standard geom_line()

g = ggplot(dd, aes(x, y))
g + geom_line(aes(group = type))

The graph shares similarities with our logo, but is too discrete. To smooth the curve, we’ll use a function from the {ggalt} package

g + geom_xspline(aes(group = type), spline_shape = -0.3)

The function geom_xspline() is the X-spline version of geom_line(), drawing a curve relative to the observations. The parameterspline_shape = -0.3 controls the shape of the spline relative to the observations. This can be a number between -1 & 1. Basically, -1 = bumpy lines, 1 = flat lines.

Next we’ll change the widths of the lines

(g1 = g  + geom_xspline(aes(size = type, group = type), spline_shape = -0.3) +
  scale_size_manual(values = (4:1)/2, guide = FALSE))

The scale_size_manual() function enables us to control the line widths. Finally, we remove the background

g1 + theme_void()

The function theme_void() does what it says on the tin it gives us a theme completely void of everything. Bar the lines of course.

That’s all for now. Thanks for reading! :)

Jumping Rivers Logo