0

Apart from the comparison between both group within each timepoint, I'd also like to compare and determine the significant (preferably displayed in asterisk) just particularly between "High light+Chilled" at 0hr and "High light+Chilled" at 24hrs. Would appreciate if anybody can enlighten me, thanks! Please find my script, data frame and plot below.

summary_anti_PsbS_both <-summarySE(data=anti_PsbS_both, measurevar="rd", groupvars=c("time","gc"))

ggplot(data=summary_anti_PsbS_both, mapping = aes(x = factor(time), y = rd, fill= gc))+
  geom_bar(stat = "identity", position = "dodge")+
  labs(x= "Time (hours)",  y="Relative density", fill= "Growth condition")+
  ylim(0,1.5)+
  geom_errorbar(aes(ymin=rd-se, ymax=rd+se), width=.2, position=position_dodge(width= 0.9))+
  annotate(geom="text", x=1, y=1.4, label="n=3")+
  stat_compare_means(data=anti_PsbS_both, label="p.signif", label.y= 1.25, method="anova")+
  theme_bw()

Original plot

data.frame(anti_PsbS_both)

   id                 gc time    rd ...5 ...6 ...7 ...8 ...9 ...10
1   1 High light+Chilled  0.0 1.000   NA   NA   NA   NA   NA    NA
2   2 High light+Chilled  0.0 1.000   NA   NA   NA   NA   NA    NA
3   3 High light+Chilled  0.0 1.000   NA   NA   NA   NA   NA    NA
4   4 High light+Chilled  0.5 0.487   NA   NA   NA   NA   NA    NA
5   5 High light+Chilled  0.5 1.341   NA   NA   NA   NA   NA    NA
6   6 High light+Chilled  0.5 0.904   NA   NA   NA   NA   NA    NA
7   7 High light+Chilled  8.0 0.471   NA   NA   NA   NA   NA    NA
8   8 High light+Chilled  8.0 0.777   NA   NA   NA   NA   NA    NA
9   9 High light+Chilled  8.0 0.342   NA   NA   NA   NA   NA    NA
10 10 High light+Chilled 24.0 0.392   NA   NA   NA   NA   NA    NA
11 11 High light+Chilled 24.0 0.627   NA   NA   NA   NA   NA    NA
12 12 High light+Chilled 24.0 0.258   NA   NA   NA   NA   NA    NA
13 13 High light+Chilled 48.0 0.800   NA   NA   NA   NA   NA    NA
14 14 High light+Chilled 48.0 1.305   NA   NA   NA   NA   NA    NA
15 15 High light+Chilled 48.0 0.579   NA   NA   NA   NA   NA    NA
16 16            Control  0.0 1.000   NA   NA   NA   NA   NA    NA
17 17            Control  0.0 1.000   NA   NA   NA   NA   NA    NA
18 18            Control  0.0 1.000   NA   NA   NA   NA   NA    NA
19 19            Control  0.5 1.279   NA   NA   NA   NA   NA    NA
20 20            Control  0.5 0.668   NA   NA   NA   NA   NA    NA
21 21            Control  0.5 0.877   NA   NA   NA   NA   NA    NA
22 22            Control  8.0 0.958   NA   NA   NA   NA   NA    NA
23 23            Control  8.0 0.642   NA   NA   NA   NA   NA    NA
24 24            Control  8.0 0.612   NA   NA   NA   NA   NA    NA
25 25            Control 24.0 0.915   NA   NA   NA   NA   NA    NA
26 26            Control 24.0 0.876   NA   NA   NA   NA   NA    NA
27 27            Control 24.0 0.836   NA   NA   NA   NA   NA    NA
28 28            Control 48.0 0.662   NA   NA   NA   NA   NA    NA
29 29            Control 48.0 0.914   NA   NA   NA   NA   NA    NA
30 30            Control 48.0 0.912   NA   NA   NA   NA   NA    NA
wychin
  • 7
  • 4

0 Answers0