I would like to format my geom_text string and make it nicer.
- I need to make 'max' and 'min' as subscript in Tmax and Tmin.
- I need to italicize the two variables (Tmax/Tmin and Year) in the equations in each facet.
- I need subscript in the legend as well.
I know T[max] with Parse = TRUE will give me the subscript. But as you can see in the code, i am using paste0 to add other detail in my string. So i am not able to do this when i try to make a complex string.
I also know italic(Tmax) will make it italic with Parse = TRUE but again i have a complex string so this doesn't work either.
Would appreciate any help with this.
Minimum reproducible code:
library(ggplot2)
################### Statistics Data ##############################
fitted2<-structure(list(Zone = structure(c(3L, 3L, 3L, 2L, 2L, 2L, 1L,
1L, 1L), .Label = c("Low", "Intermediate", "High"), class = "factor"),
Variable = c("Precipitation", "Tmax", "Tmin", "Precipitation",
"Tmax", "Tmin", "Precipitation", "Tmax", "Tmin"), mean = list(
532, 14.5, 2.7, 457, 14.7, 2.36, 364, 17, 2.8), sd = list(
108, 1.15, 0.724, 107, 1.17, 1.13, 85.4, 1.13, 0.801),
W = c(0.98, 0.91, 0.96, 0.98, 0.91, 0.97, 0.99, 0.85, 0.94
), Shapiro_p_value = c(0.11, 0, 0.02, 0.41, 0, 0.05, 0.59,
0, 0), intercept = c(2070, -0.139, -7.69, 754, -1.96, 13.5,
-478, 17, 14.8), slope = c(-0.78, 0.01, 0.01, -0.15, 0.01,
-0.01, 0.43, 0, -0.01), LM_p_value = c(0.117, 0.1636, 0.1141,
0.7621, 0.1189, 0.2791, 0.2799, 0.9987, 0.0976), Adj_r_squared = c(0.0181,
0.0118, 0.0186, -0.0112, 0.0178, 0.0023, 0.0022, -0.0123,
0.0216), MK_tau = c(-0.149, 0.228, 0.196, -0.021, 0.24, -0.043,
0.117, 0.122, -0.093), MK_p_value = c(0.047, 0.002, 0.009,
0.783, 0.001, 0.571, 0.118, 0.103, 0.214), sen_slope = c(-0.92,
0.014, 0.007, -0.152, 0.016, -0.003, 0.707, 0.007, -0.004
), plotlevels = c("(c)", "(c)", "(c)", "(b)", "(b)", "(b)",
"(a)", "(a)", "(a)")), row.names = c(NA, -9L), class = c("tbl_df",
"tbl", "data.frame"))
############################################################
######### Plot points data ####################################
t_yearly_agg_long<-structure(list(Wateryear = c(2016, 2016, 2017, 2017, 2018, 2018,
2019, 2019, 2020, 2020, 2016, 2016, 2017, 2017, 2018, 2018, 2019,
2019, 2020, 2020, 2016, 2016, 2017, 2017, 2018, 2018, 2019, 2019,
2020, 2020), Zone = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L), .Label = c("Low", "Intermediate", "High"
), class = "factor"), Temp_variable = c("Tmax", "Tmin", "Tmax",
"Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax",
"Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax",
"Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax", "Tmin", "Tmax",
"Tmin", "Tmax", "Tmin"), `Temperature (C)` = c(16, 4, 15, 3,
15, 3, 15, 3, 15, 3, 16, 3, 15, 3, 15, 3, 15, 3, 16, 3, 19, 4,
16, 1, 16, 1, 17, 3, 18, 3)), row.names = c(NA, -30L), class = c("tbl_df",
"tbl", "data.frame"))
##########################################################
#### Separate precipitation and temperature from statistics table ####
fitted_temp<-fitted2[fitted2$Variable!="Precipitation",]
fitted_temp_max<-fitted2[fitted2$Variable=="Tmax",]
fitted_temp_min<-fitted2[fitted2$Variable=="Tmin",]
nms<-colnames(fitted_temp)
nms[2]<-"Temp_variable"
nms_max<-colnames(fitted_temp_max)
nms_max[2]<-"Temp_variable"
nms_min<-colnames(fitted_temp_min)
nms_min[2]<-"Temp_variable"
colnames(fitted_temp)<-nms
colnames(fitted_temp_max)<-nms_max
colnames(fitted_temp_min)<-nms_min
####################################################################
#### Color specification
colls <- c("Tmax" ="#252525","Tmin"="#969696" )
my.formula<-(y~x)
zone_ord<-c("Low", "Intermediate","High")
t_yearly_agg_long$Zone<-factor(t_yearly_agg_long$Zone, levels = zone_ord)
### Plot starts here ###############
ggplot(t_yearly_agg_long, aes(Wateryear,`Temperature (C)`, color = Temp_variable))
geom_point(size = 1.9)
geom_line(size = 1.1)
scale_color_manual(values=colls)
ylab("Temperature (C)")
scale_y_continuous(limits=c(-5,40), n.breaks = 5)
facet_wrap(~Zone,ncol=1)
#### Add facet labels myself ###
geom_text(data=fitted_temp_max,
aes(x = 2015, y = 38, label = plotlevels), size = 7, fontface = "bold", show.legend = FALSE)
##################################
theme(legend.direction = "vertical",
legend.position = c(.94, .94),
legend.text = element_text(size = 15),
strip.text.x = element_blank())
theme(panel.background = element_rect(fill = "white", color = "#FAC213"),
plot.background = element_rect(fill = "transparent", color = NA_character_))
######## NEED HELP HERE ##############
geom_text(data = fitted_temp_max,
aes(x=2016, y = 38, label = paste0("Tmax, Mean = ",mean,", Tmax =",intercept, ifelse(slope>=0, " ",""),slope,"Year"), color = Temp_variable), hjust=0, size = 5.5, show.legend = FALSE)
geom_text(data = fitted_temp_min,
aes(x=2016, y = 38-10, label = paste0("Tmin, Mean = ",mean,", Tmin =",intercept, ifelse(slope>=0, " ",""),slope,"Year"), color = Temp_variable), hjust=0, size = 5.5, show.legend = FALSE)
############################################
CodePudding user response：
What you are looking for is fontface="italic" argument
