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@sumanthratna
Last active February 8, 2020 17:45
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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"
# 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")
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