Setting up
rm(list=ls())
library(ggplot2)
library(ggpubr)
library(scales)
library(lubridate)
##
## Attaching package: 'lubridate'
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
library(readr)
##
## Attaching package: 'readr'
## The following object is masked from 'package:scales':
##
## col_factor
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(chron)
##
## Attaching package: 'chron'
## The following objects are masked from 'package:lubridate':
##
## days, hours, minutes, seconds, years
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
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## filter
## The following object is masked from 'package:graphics':
##
## layout
library(dplyr)
Data
alldata<-
read.csv(
"https://raw.githubusercontent.com/Cmwegener/thesis/master/data/field/CB_field_data_plus.csv",
header = TRUE
)
alldata$date<-as.Date(alldata$date, format = c("%Y-%m-%d"))
Subset data by site
HS<-subset(alldata, alldata$site.old == "HS")
BY<-subset(alldata, alldata$site.old == "BY")
ND<-subset(alldata, alldata$site.old == "ND")
PC<-subset(alldata, alldata$site.old == "PC")
Graph
a <-
ggplot(data = HS,
mapping = aes(x = date, y = oo.per.thalli, group = date)) + geom_boxplot(alpha=0.3) + ggtitle("Horseshoe Bay") +
geom_jitter(position=position_jitter(0.5),
size=1,
alpha = 0.3)+ xlab("")+ylab("")+
scale_x_date(date_breaks = "2 month", date_labels = "%b %Y") + scale_y_continuous(labels = comma) + theme(
plot.title = element_text(size = 20, face = "plain"),
axis.text.x = element_text(angle = 60, hjust = 1),
axis.text = element_text(size = 20),
axis.title = element_text(size = 20, face = "plain"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.line = element_line(colour = "black")
)
b <-
ggplot(data = BY,
mapping = aes(x = date, y = oo.per.thalli, group = date)) + geom_boxplot(alpha=0.3) + ggtitle("Brickyard Park") +
geom_jitter(position=position_jitter(0.5),
size=1,
alpha = 0.3)+xlab("")+ylab("")+
scale_x_date(date_breaks = "2 month", date_labels = "%b %Y") + scale_y_continuous(labels = comma) + theme(
plot.title = element_text(size = 20, face = "plain"),
axis.text.x = element_text(angle = 60, hjust = 1),
axis.text = element_text(size = 20),
axis.title = element_text(size = 20, face = "plain"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.line = element_line(colour = "black")
)
c <-
ggplot(data = ND,
mapping = aes(x = date, y = oo.per.thalli, group = date)) + geom_boxplot(alpha=0.3) + ggtitle("Point Chauncy")+
geom_jitter(position=position_jitter(0.5),
size=1,
alpha = 0.3) +xlab("")+ylab("")+
scale_x_date(date_breaks = "2 month", date_labels = "%b %Y") + scale_y_continuous(labels = comma) + theme(
plot.title = element_text(size = 20, face = "plain"),
axis.text.x = element_text(angle = 60, hjust = 1),
axis.text = element_text(size = 20),
axis.title = element_text(size = 20, face = "plain"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.line = element_line(colour = "black")
)
d <-
ggplot(data = PC,
mapping = aes(x = date, y = oo.per.thalli, group = date)) + geom_boxplot(alpha=0.3) + ggtitle("Paradise Cay")+
geom_jitter(position=position_jitter(0.5),
size=1,
alpha = 0.3) +xlab("")+ylab("")+
scale_x_date(date_breaks = "2 month", date_labels = "%b %Y") + scale_y_continuous(labels = comma)+ theme(
plot.title = element_text(size = 20, face = "plain"),
axis.text.x = element_text(angle = 60, hjust = 1),
axis.text = element_text(size = 20),
axis.title = element_text(size = 20, face = "plain"),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_blank(),
axis.line = element_line(colour = "black")
)
ooper_thallus <- ggarrange(d, c, b, a, ncol = 4, nrow = 1)
## Warning: Removed 122 rows containing non-finite values (stat_boxplot).
## Warning: Removed 122 rows containing missing values (geom_point).
## Warning: Removed 118 rows containing non-finite values (stat_boxplot).
## Warning: Removed 118 rows containing missing values (geom_point).
## Warning: Removed 116 rows containing non-finite values (stat_boxplot).
## Warning: Removed 116 rows containing missing values (geom_point).
## Warning: Removed 115 rows containing non-finite values (stat_boxplot).
## Warning: Removed 115 rows containing missing values (geom_point).
annotate_figure(
ooper_thallus,
left = text_grob(
"Oogonia per thalli",
color = "black",
rot = 90,
size = 25,
face="bold"
)
)