I test differences between frequency of hits of exotic annual forbs in
plots on two sites, Q and WD.
> Q<-c(13,0,10,2,0,0,1,0,0,1,5)
> WD<-c(0,0,1,0,0,0,0,0,0,0,1)
> t.test(Q,WD)
Welch Two Sample t-test
data: Q and WD
t = 1.9807, df = 10.158, p-value = 0.07533
alternative hypothesis:
Dear R friends,
I have to produce a plot like the one attached on the file. The idea is to
plot the time spent for a spider over several different prey, the spiders
were repreated in the different trials. If any of you knows how to perform
this plot or have any source which explains how to do it,
Garcia,
Just use ggplot2, here is some code to illustrate:
--
library(ggplot2)
#Create some dummy data with x, y and category columns
mysample <- function(category)
data.frame(x=c(1:10),y=c(10:1)*(1+0.25*runif(10)),Category=category)
dfA = mysample("A")
dfB = mysample("B")
Hi Luis,
You can try this:
# enter data
spider <- c(1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5)
prey <-
c("cockroach","ant","termite","fly","isopod","cockroach","ant","termite","fly","isopod","cockroach","ant","termite","fly","isopod","cockroach","ant","termite","fly","isopod","cockroach",
The sentence "alternative hypothesis: true difference in means is not equal to
0" is stating what the alternative hypothesis is and not that your particular
difference in means is significantly different from zero. That sentence would
appear (when you have a two-tailed test) no matter what the
