Code to generate graphs for our IBET paper, "Road Salt: at Fault? The Effect of Chloride Concentration on the Mass of Ambystoma maculatum Egg Masses"

ibet-graphs.R

# ourdata is data we collected (from the 2018-2019 school year)
ourdata <-
  data.frame(
    chloride = c(
      1.233333333,
      0.866666667,
      2.8,
      1,
      1.2,
      0.6,
      1.3,
      0.933333333,
      0.2,
      0.3,
      1.6,
      0.65,
      0.6,
      0.7,
      0.8,
      0.6666666667,
      0.925
    ),
    mass = c(
      270,
      273.3333333,
      140,
      165,
      106.667,
      145,
      140,
      160,
      95,
      170,
      166.6666667,
      80,
      92,
      120,
      112.5,
      133.3333333,
      156
    )
  )

# hisdata is the historical data (from the 2017-2018 school year)
hisdata <-
  data.frame(
    chloride = c(
      1.8,
      3.2,
      2.2,
      2.2,
      5.8,
      1.7,
      1.9,
      2.4,
      3.4,
      2.8,
      2.95,
      2.7,
      5.1,
      5.24,
      5.6,
      4.9,
      6.1,
      6.7
    ),
    mass = c(
      105,
      100,
      115,
      110,
      95,
      165,
      135,
      120,
      80,
      90,
      85,
      86,
      65,
      70,
      75,
      90,
      85,
      40
    )
  )

par(family = "Times New Roman")
plot(lm(ourdata), which = 1)
abline(0, 0)

hist(
  resid(lm(ourdata)),
  col = "gray",
  main = "Histogram of Residuals",
  xlab = "Residual",
  ylab = "Frequency"
)


library(ggplot2)

# ggplot(ourdata, aes(x = ourdata$chloride, ourdata$mass)) + geom_point(aes(x = chloride, y = mass), stat = "identity") + theme_classic() + theme(axis.title.x = element_text(size = 32, family = "Pontano Sans"), axis.title.y = element_text(size = 32, family = "Pontano Sans"), axis.title = element_text(size = 18, family = "Pontano Sans"), plot.caption = element_text(hjust = 0, family = "Pontano Sans"), axis.text = element_text(size = 24, family = "Pontano Sans")) + xlab("Average Chloride Concentration (ppm)") + ylab("Average Mass of Egg Masses (g)\n") + scale_y_continuous(breaks = seq(0, 300, by = 25)) + scale_x_continuous(breaks = seq(0, 21, by = 0.5)) + stat_smooth(method = "lm", col = "red")

ourscat <-
  ggplot(ourdata, aes(x = ourdata$chloride, ourdata$mass)) + geom_point(aes(x = chloride, y = mass), stat = "identity") + theme_classic() + theme(
    axis.title.x = element_text(size = 32, family = "Calibri"),
    axis.title.y = element_text(size = 32, family = "Calibri"),
    axis.title = element_text(size = 18, family = "Calibri"),
    plot.caption = element_text(hjust = 0, family = "Calibri"),
    axis.text = element_text(size = 24, family = "Calibri")
  ) + xlab("Average Chloride Concentration (ppm)") + ylab("Average Mass of Egg Masses (g)\n") + scale_y_continuous(breaks = seq(0, 300, by = 25)) + scale_x_continuous(breaks = seq(0, 21, by = 0.5)) + stat_smooth(method = "lm", col = "red")
ourscat

library(officer)
library(rvg)
library(tidyverse)
read_pptx() %>%
  add_slide(layout = "Title and Content", master = "Office Theme") %>%
  ph_with_vg(code = print(ourscat), type = "body") %>%
  print(target = "/tmp/ourscat.pptx")

ibet-hisdata.svg

ibet-hisresids.svg

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