你可以做：
my_color <- as.factor(final$color)
levels(my_color) <- c("blue","yellow3","red","pink","purple","green","orange")
par(mfrow = c(1,2))
# original plot
pos <- seq(min(final$f3), max(final$f3), by = 25) ## y-axis tick marks position.
plot(final$gvs, final$f3, cex=2, pch=21, bg = as.character(my_color),
xaxt="n", yaxt="n", xlab="Genetic Values", ylab="F3", main="SCZ")
axis(2, at = pos, labels = pos) ## add y-axis
# new plot
threshold <- 260 ## cut off threshold
## some rescaling
## if f3 < threshold, we take new_f3 <- 0.1 * f3
## if f3 > threshold, we take new_f3 <- f3 - 0.9 * threshold
new_f3 <- ifelse(final$f3 < threshold, 0.1 * final$f3, final$f3 - threshold * 0.9)
## we apply the same transform to `pos` to get `new_pos`
new_pos <- ifelse(pos < threshold, 0.1 * pos, pos - threshold * 0.9)
plot(final$gvs, new_f3, cex=2, pch=21, bg = as.character(my_color),
xaxt="n", yaxt="n", xlab="Genetic Values", ylab="F3", main="SCZ")
abline(h = threshold * 0.1, lty = 3) # threshold line
axis(2, at = new_pos, labels = pos)
