5  Code examples from study session 2024-02-25

This is part of the Scicloj Clojure Data Tutorials.

(ns study-session-20240225
  (:require [clojisr.v1.r :as r :refer [r]]
            [clojisr.v1.applications.plotting :as plotting]
            [scicloj.kindly.v4.kind :as kind]
            [tablecloth.api :as tc]
            [scicloj.metamorph.ml.toydata :as toydata]
            [scicloj.metamorph.ml.toydata.ggplot :as toydata.ggplot]
            [representing]))

Add ggplot2 to the R runtime:

(r/library "ggplot2")

[1] "ggplot2"   "Rserve"    "stats"     "graphics"  "grDevices" "utils"    
[7] "datasets"  "methods"   "base"     

The mpg dataset:

(r "mpg")

# A tibble: 234 × 11
   manufacturer model      displ  year   cyl trans drv     cty   hwy fl    class
   <chr>        <chr>      <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
 1 audi         a4           1.8  1999     4 auto… f        18    29 p     comp…
 2 audi         a4           1.8  1999     4 manu… f        21    29 p     comp…
 3 audi         a4           2    2008     4 manu… f        20    31 p     comp…
 4 audi         a4           2    2008     4 auto… f        21    30 p     comp…
 5 audi         a4           2.8  1999     6 auto… f        16    26 p     comp…
 6 audi         a4           2.8  1999     6 manu… f        18    26 p     comp…
 7 audi         a4           3.1  2008     6 auto… f        18    27 p     comp…
 8 audi         a4 quattro   1.8  1999     4 manu… 4        18    26 p     comp…
 9 audi         a4 quattro   1.8  1999     4 auto… 4        16    25 p     comp…
10 audi         a4 quattro   2    2008     4 manu… 4        20    28 p     comp…
# ℹ 224 more rows

Evaluating R and showing a plot as a bitmap image:

(plotting/plot->buffered-image
 (r "
(ggplot(mpg, aes(x = cty, y = hwy, color = year)) +
geom_point())
"))

Showing a plot as svg:

(plotting/plot->svg
 (r "
(ggplot(mpg, aes(x = cty, y = hwy, color = year)) +
geom_point())
"))

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Use ggplot2 as a Clojure namespace:

(r/require-r '[ggplot2 :as gg])

nil

The mpg dataset as a Clojure (tech.ml.dataset) dataset:

toydata.ggplot/mpg

_unnamed [234 11]:

:manufacturer	:model	:displ	:year	:cyl	:trans	:drv	:cty	:hwy	:fl	:class
audi	a4	1.8	1999	4	auto(l5)	f	18	29	p	compact
audi	a4	1.8	1999	4	manual(m5)	f	21	29	p	compact
audi	a4	2.0	2008	4	manual(m6)	f	20	31	p	compact
audi	a4	2.0	2008	4	auto(av)	f	21	30	p	compact
audi	a4	2.8	1999	6	auto(l5)	f	16	26	p	compact
audi	a4	2.8	1999	6	manual(m5)	f	18	26	p	compact
audi	a4	3.1	2008	6	auto(av)	f	18	27	p	compact
audi	a4 quattro	1.8	1999	4	manual(m5)	4	18	26	p	compact
audi	a4 quattro	1.8	1999	4	auto(l5)	4	16	25	p	compact
audi	a4 quattro	2.0	2008	4	manual(m6)	4	20	28	p	compact
…	…	…	…	…	…	…	…	…	…	…
volkswagen	new beetle	2.0	1999	4	manual(m5)	f	21	29	r	subcompact
volkswagen	new beetle	2.0	1999	4	auto(l4)	f	19	26	r	subcompact
volkswagen	new beetle	2.5	2008	5	manual(m5)	f	20	28	r	subcompact
volkswagen	new beetle	2.5	2008	5	auto(s6)	f	20	29	r	subcompact
volkswagen	passat	1.8	1999	4	manual(m5)	f	21	29	p	midsize
volkswagen	passat	1.8	1999	4	auto(l5)	f	18	29	p	midsize
volkswagen	passat	2.0	2008	4	auto(s6)	f	19	28	p	midsize
volkswagen	passat	2.0	2008	4	manual(m6)	f	21	29	p	midsize
volkswagen	passat	2.8	1999	6	auto(l5)	f	16	26	p	midsize
volkswagen	passat	2.8	1999	6	manual(m5)	f	18	26	p	midsize
volkswagen	passat	3.6	2008	6	auto(s6)	f	17	26	p	midsize

Evaluating R code generated from the Clojure namespace, with Clojure data.

(-> toydata.ggplot/mpg
    (gg/ggplot (gg/aes :x 'cty
                       :y 'hwy
                       :color 'year))
    (r/r+ (gg/geom_point))
    r
    plotting/plot->buffered-image)

Representing a ggplot plot as Clojure data:

(-> toydata.ggplot/mpg
    (gg/ggplot (gg/aes :x 'cty
                       :y 'hwy
                       :color 'year))
    (r/r+ (gg/geom_point))
    r
    representing/ggplot->clj
    ;; (dissoc the dataset itself
    ;; to keep the structure small)
    (dissoc :data))

{:labels {:x ["cty"], :y ["hwy"], :colour ["year"]},
 :coordinates
 {:expand [true],
  :clip ["on"],
  :limits {:x nil, :y nil},
  :super :ggproto-method,
  :default [true]},
 :layout {:super :ggproto-method},
 :mapping {:x [~ cty], :y [~ hwy], :colour [~ year]},
 :facet {:shrink [true], :super :ggproto-method},
 :scales {:scales [], :super :ggproto-method},
 :theme [],
 :guides {:guides nil, :super :ggproto-method},
 :layers
 [{:aes_params [],
   :stat {:compute_layer :ggproto-method, :super :ggproto-method},
   :show.legend [nil],
   :mapping nil,
   :super :ggproto-method,
   :inherit.aes [true],
   :geom_params {:na.rm [false]},
   :geom
   {:non_missing_aes ["size" "shape" "colour"],
    :draw_key :ggproto-method,
    :default_aes
    {:shape [19.0],
     :colour ["black"],
     :size [1.5],
     :fill [nil],
     :alpha [nil],
     :stroke [0.5]},
    :super :ggproto-method,
    :required_aes ["x" "y"],
    :draw_panel :ggproto-method},
   :stat_params {:na.rm [false]},
   :constructor [[$ .MEM xc66970c7c1b943a9]],
   :position {:compute_layer :ggproto-method, :super :ggproto-method},
   :data []}]}

Using log scale (keeping axis labels, changing the spacing):

(-> toydata.ggplot/mpg
    (gg/ggplot (gg/aes :x 'cty
                       :y 'hwy
                       :color 'year))
    (r/r+ (gg/geom_point :size 5)
          (gg/scale_y_log10))
    r
    plotting/plot->svg
    kind/html)

source: projects/datavis/ggplot/notebooks/study_session_20240225.clj