A few questions here:
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I am trying to do a bar graph in R studio +/- 1 standard error. The data has 3 categories, one with very small values the other 2 with large values so cannot be plotted as a normal bar graph (as the bar with small values can't be seen), it also some 0 values so I don't think it can be log transformed. I was thinking trying to break the y axis (all the small values are less than 0.01 and large values are over 20), but I have no idea how to do this, or feel free to suggest a better way (doesn't have to be a bar graph)
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When I am trying to create the graph below, when I return, it returns the next line with a "+" rather than executing the code (below), even trying to add brackets and things return still gives the plus sign.
ggplot(et.data.fccd,aes(x=experimental.control, y=ln.duration.mean))+geom_jitter(data=FemaleChoice_CopulationDuration,aes(x=experimental.control,y=(ln.duration.mean),width=0.05,alpha=0.1,cex=0.5,col="gray50")+geom_errorbar(limits_fccd,width=0.1)+geom_point(cex=2,col="red")+theme_classic()+xlab("Experiental control")
+
3) I think I managed to do anova, and got these results:
Df Sum Sq Mean Sq F value Pr(>F)
experimental.control 1 0.006 0.00553 0.036 0.85
Does this mean the p value is 0.85 so obviously not significant? I am confused what the Pr(>F) means
I have spent ages trying to do this, I have a decent knowledge of statistics (I study biology) but I don't know what I am doing in R and I am used to using excel.
Very sorry for the long post and so many questions, any help at all is really appreciated but please try to keep it simple because I really have no idea what I am doing 