R, R², p-value and regression equation - r

Question

This code gives me a plot with the regression equation and R2: (but i need to mention in which x and y the equation will be (manually)
CORRELATIONP3 <-CORRELATIONP2[product=='a',]
x<-CORRELATIONP3$b
y<-CORRELATIONP3$p
df <- data.frame(x = x)
m <- lm(y ~ x, data = df)
p <- ggplot(data = df, aes(x = x, y = y)) +
scale_x_continuous("b (%)") +
scale_y_continuous("p (%)")+
geom_smooth(method = "lm", formula = y ~ x) +
geom_point()
p
eq <- substitute(italic(y) == a + b %.% italic(x)*","~~italic(r)^2~"="~r2,
list( a = format(coef(m)[1], digits = 4),
b = format(coef(m)[2], digits = 4),
r2 = format(summary(m)$r.squared, digits = 3)))
dftext <- data.frame(x = 3, y = 0.2, eq = as.character(as.expression(eq)))
p + geom_text(aes(label = eq), data = dftext, parse = TRUE)
But, with this code I have R and p-value: And here the information about R and p values fits automatically in the plot, why? I want this in the first one as well.
CORRELATIONP3 <-CORRELATIONP2[product=='a',]
x<-CORRELATIONP3$b
y<-CORRELATIONP3$p
df <- data.frame(x = x)
m <- lm(y ~ x, data = df)
p <- ggplot(data = df, aes(x = x, y = y)) +
scale_x_continuous("b (%)") +
scale_y_continuous("p (%)")+
geom_smooth(method = "lm", formula = y ~ x) +
geom_point()
p
eq <- substitute(italic(r)~"="~rvalue*","~italic(p)~"="~pvalue, list(rvalue = sprintf("%.2f",sign(coef(m)[2])*sqrt(summary(m)$r.squared)), pvalue = format(summary(m)$coefficients[2,4], digits = 3)))
dftext <- data.frame(x = 30, y = 0.4, eq = as.character(as.expression(eq)))
p + geom_text(aes(label = eq), data = dftext, parse = TRUE)
Can you tell me how can I join all the 4 informations in one sigle plot? (R, R2, equation and p-value)
Besides that, i would like that these informations could be fitted automatically in the plot, not manually.

Answer 1

Ok, I am not sure if this works as you have not given a reproducible example of your data but I guess you just have to rename one of your variables e.g.:
eq2 <- substitute(italic(r)~"="~rvalue*","~italic(p)~"="~pvalue,
list(rvalue = sprintf("%.2f",sign(coef(m)[2])*sqrt(summary(m)$r.squared)),
pvalue = format(summary(m)$coefficients[2,4], digits = 3)))
and then you change the points you put it on in your plot just a bit below your other block in the first plot. x and y here refer to the position of the text lable so play around with these until your text looks ok.
dftext2 <- data.frame(x = 30, y = 0.12, eq2 = as.character(as.expression(eq2)))
p + geom_text(aes(label = eq2), data = dftext2, parse = TRUE)
please let me know if this works and if this is what you meant.