torize it? If so, this would be a far more efficient and faster approach.
>
> ~Caitlin
>
> On Saturday, August 5, 2017, Kirsten Morehouse
> wrote:
>
>> Hi! Thanks for taking the time to read this.
>>
>> The code below creates a graph that takes 100 samples that are bet
00 in range of 5 to 15
>
>
>
> Set C: 300 samples, draw 100 in range of 5 to 15
>
>
>
> Ben
>
>
>
> > On Aug 5, 2017, at 9:21 AM, Kirsten Morehouse
> wrote:
>
> >
>
> > Hi! Thanks for taking the time to read this.
>
> >
>
Hi! Thanks for taking the time to read this.
The code below creates a graph that takes 100 samples that are between 5%
and 15% of the population (400).
What I'd like to do, however, is add two other sections to the graph. It
would look something like this:
from 1-100 samples take 100 samples tha
Hi everyone,
I'm having some trouble with my ifelse statements.
I'm trying to put 12 conditions within 3 groups. Here is the code I have so
far:
dat$cond <- ifelse(test = dat$cond == "cond1" | dat$cond == "cond2" |
dat$cond == "cond3" dat$cond == "cond4"
yes = "Uniform"
lt;-npadj+1
> }
> plot(padjs,xaxt="n",main="P plot",xlab="Method",ylab="adjusted p values")
> abline(h=0.05,col="lightgray")
> library(plotrix)
> staxlab(1,at=1:8,labels=p.adjust.methods)
>
> Jim
>
>
> On Thu, Jul 13, 2017 at 1
Hi all,
Thank you for taking the time to read my message. I'm trying to make a
figure that plots p-values by a range of different adjustment values.
(Using the **logit** function in package **car**)
My Statistical analyses were conducted on probability estimates ranging
from 0% to 100%. As it's
6 matches
Mail list logo
