I'm using quickpsy package in R (https://cran.r-project.org/web/packages/quickpsy/quickpsy.pdf /
http://dlinares.org/quickpsy.html) to fit psychometric functions to the data. I use quickpsy
and then plotcurves
.
fit <- quickpsy(data, delta, response, grouping = c("condition"),lapses = FALSE, bootstrap = "none", fun = logistic_fun)
plotcurves(fit, ci = TRUE) + labs(y = "Proportion yes responses", x="Delta") + theme_classic(base_size = 20) + scale_x_continuous(n.breaks = 6, limits=c(-3, 3)) +
scale_color_manual(values=c("#C0C0C0", "#000000")) + theme(legend.title = element_blank())
I'd like to make the plotted curves thicker. Is there any way to do it? I couldn't increase the thickness with any ggplot width manipulation.
What you could do is using your quickpsy
fit with ggplot
instead of plotcurves
. Then you can change the size
of your geom_line
. Here is a reproducible example:
library(ggplot2)
library(quickpsy)
x <- seq(0, 420, 60)
k <- c(0, 0, 4, 18, 20, 20, 19, 20)
dat <- tibble(x, k, n = 20)
fitWithoutLapses <- quickpsy(dat, x, k, n, prob = .75)
#> Warning: `group_by_()` was deprecated in dplyr 0.7.0.
#> Please use `group_by()` instead.
#> See vignette('programming') for more help
#> This warning is displayed once every 8 hours.
#> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was generated.
curvesWithoutLapses <- fitWithoutLapses$curves %>%
mutate(cond = 'Without Lapses')
pWithout <- ggplot()+
geom_point(data = fitWithoutLapses$averages, aes(x = x, y = prob)) +
geom_line(data = curvesWithoutLapses,
aes(x = x, y = y, color = cond), size = 2) +
geom_linerange(data = fitWithoutLapses$thresholds,
aes(x = thre, ymin = 0, ymax = prob), lty =2)
pWithout
Created on 2022-07-30 by the reprex package (v2.0.1)
For more info check this link for using quickpsy
in ggplot
.