library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.1     ✔ readr     2.1.4
## ✔ forcats   1.0.0     ✔ stringr   1.5.0
## ✔ ggplot2   3.4.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.2     ✔ tidyr     1.3.0
## ✔ purrr     1.0.1     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
qpcrm <- read.csv("../data/qPCR-data-7-24-1.csv", header = TRUE)
ggplot(data = qpcrm, mapping = aes(x = Subgroup, y = CqMean)) +   geom_boxplot() +
  facet_wrap('Target') +
  coord_cartesian(ylim = c(0, 45))

qpcrm %>%
  filter(Target == "Cg_18s(1408/9)") %>%
ggplot(mapping = aes(x = Subgroup, y = CqMean)) + 
  geom_boxplot()  +
  geom_jitter(aes(color = History), width = 0.1, alpha = 0.7)

qpcrm %>%
  filter(Target == "Cg_Actin(1170/1)") %>%
ggplot(mapping = aes(x = Subgroup, y = CqMean)) + 
  geom_boxplot()  +
  geom_jitter(aes(color = History), width = 0.1, alpha = 0.7)

qpcrm %>%
  filter(Target == "Cg_Def(1160/1)") %>%
ggplot(mapping = aes(x = Subgroup, y = CqMean)) + 
  geom_boxplot()  +
  geom_jitter(aes(color = History), width = 0.1, alpha = 0.7)

qpcrm %>%
  filter(Target == "IL-17_internal(256/7)") %>%
ggplot(mapping = aes(x = Subgroup, y = CqMean)) + 
  geom_boxplot()  +
  geom_jitter(aes(color = History), width = 0.1, alpha = 0.7)