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--- | ||
title: "Effect of climate warming on the timing of autumn leaf senescence reverses at the summer solstice" | ||
subtitle: "Experiment 1: Photosynthesis calculation" | ||
--- | ||
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<br><br> | ||
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## 1. Load packages | ||
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<details><summary>load packages</summary> | ||
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```{r, message=FALSE, warning=FALSE} | ||
require(tidyverse) | ||
require(data.table) | ||
require(broom) | ||
require(gmodels) | ||
require(patchwork) | ||
``` | ||
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</details> | ||
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<br> | ||
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## 2. Load data | ||
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<details> | ||
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<summary>data tables</summary> | ||
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```{r} | ||
################ | ||
# define paths # | ||
################ | ||
data.dir = "/Users/consti/Desktop/PhD/Publication_material/17_Autumn_phenology_tier2/Experiment1/Data/Photosynthesis" | ||
output.dir = "/Users/consti/Desktop/PhD/Publication_material/17_Autumn_phenology_tier2/Experiment1/R_output/Photosynthesis" | ||
############################ | ||
# Load photosynthesis data # | ||
############################ | ||
Photo.df = read.table(paste(data.dir, "Photosynthesis.csv", sep="/"), header = T, sep=",") %>% | ||
#transform date column | ||
mutate(Date = plyr::revalue(Date, c("A" = "May", "B" = "June", "C" = "July")), | ||
Date = factor(Date, levels = c("May","June","July"))) %>% | ||
#delete Groups | ||
filter(!(Group %in% c("M","L","N","O","P"))) | ||
``` | ||
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</details><details><summary>ggplot themes</summary> | ||
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```{r} | ||
plotTheme1 = theme( | ||
legend.position = "right", | ||
legend.background = element_rect(fill=NA, size=0.5, linetype="solid"), | ||
legend.text = element_text(color="black"), | ||
panel.background = element_blank(), | ||
axis.text = element_text(colour = "black"), | ||
panel.border = element_rect(colour = "black", fill=NA), | ||
axis.line = element_line(color = "black"), | ||
strip.background = element_rect(fill=NA), | ||
strip.text = element_text(colour = 'black'), | ||
plot.title = element_text(face="bold",hjust = 0.5)) | ||
``` | ||
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</details> | ||
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<br> | ||
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## 3. Analyze photosynthesis data | ||
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<details><summary>Sample sizes</summary> | ||
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```{r} | ||
table(Photo.df$Group, Photo.df$Date) | ||
``` | ||
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</details> | ||
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<details><summary>Linear models</summary> | ||
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```{r} | ||
#Model relative change in photosynthesis | ||
LM.df = Photo.df %>% | ||
#group by Month | ||
group_by(Date) %>% | ||
#linear model | ||
do({model = lm(A ~ Treatment, data=.) # create your model | ||
data.frame(tidy(model), | ||
lowCI=ci(model)[,2], | ||
hiCI=ci(model)[,3])}) %>% | ||
#get percentages by dividing by intercept | ||
mutate(Anet.mean = estimate[1], | ||
Anet.percent = estimate / Anet.mean *100, | ||
Anet.percent.hi = hiCI / Anet.mean *100, | ||
Anet.percent.low = lowCI / Anet.mean *100) %>% | ||
filter(!term %in% c("(Intercept)")) | ||
as.data.frame(LM.df) | ||
``` | ||
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</details> | ||
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<br> | ||
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## 4. Figures | ||
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</details> | ||
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<details><summary>plot 1: Absolute and relative photosynthesis</summary> | ||
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```{r, fig.align = "center"} | ||
##################### | ||
#Plot absolute change | ||
##################### | ||
absolute.plot = ggplot(Photo.df, aes(x=Date, y=A, fill=Treatment)) + | ||
geom_boxplot(outlier.shape = NA) + | ||
geom_vline(xintercept=1.5, colour="black", linetype="dashed")+ | ||
geom_vline(xintercept=2.5, colour="black", linetype="dashed")+ | ||
coord_cartesian(ylim = c(0.48, 10.2))+ | ||
labs(x = "", y = "Anet (mmol m-2 s-1)") + | ||
scale_fill_manual(values = c('#F21A00','#3B9AB2','grey40'))+ | ||
plotTheme1 | ||
##################### | ||
#Plot relative change | ||
##################### | ||
relative.plot = ggplot(LM.df, aes(x=Date, y=Anet.percent, group = term, fill = term)) + | ||
geom_bar(position=position_dodge(), stat="identity") + | ||
geom_errorbar(aes(ymin=Anet.percent.low, ymax=Anet.percent.hi), | ||
width=.2, # Width of the error bars | ||
position=position_dodge(.9))+ | ||
coord_cartesian(ylim=c(-100,100))+ | ||
geom_hline(yintercept = 0)+ | ||
geom_vline(xintercept=1.5, colour="black", linetype="dashed")+ | ||
geom_vline(xintercept=2.5, colour="black", linetype="dashed")+ | ||
scale_fill_manual(values = c('#3B9AB2','grey40')) + | ||
labs(x = "Date", y = "Anet change (%)") + | ||
plotTheme1 + theme(legend.position = "none") | ||
#define plot layout | ||
layout <- " | ||
A | ||
B" | ||
#Merge plots | ||
PhotosynthesisPlot = absolute.plot + relative.plot + | ||
plot_layout(design = layout) + plot_annotation(tag_levels = 'a')& | ||
theme(plot.tag = element_text(face = 'bold')) | ||
#Save PDF | ||
pdf(paste(output.dir,"PhotosynthesisPlot.pdf",sep="/"), width=5, height=5, useDingbats=FALSE) | ||
PhotosynthesisPlot | ||
dev.off() | ||
PhotosynthesisPlot | ||
``` | ||
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</details> | ||
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<br> | ||
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## 5. Reproducibility | ||
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</details> | ||
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<details><summary>Reproducibility info</summary> | ||
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```{r} | ||
## date time | ||
Sys.time() | ||
## session info | ||
sessionInfo() | ||
``` | ||
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</details> |
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