To elaborate on Rolf's suggestion... the data you have does not look like the
LJ plot on the referenced web page... You should be investigating the nature of
this data and how it is really supposed to relate to potential energy physics
before putting it into a numerical meat grinder. Garbage in
Rui:
Thank you very much for your help! It works the way you do. My problem
was with the time I declare the control group:
My code:
p <- ggplot(data, aes(Pretrend, Outcome))
+ geom_point(aes(colour=factor(Control))
Your solution:
p <- ggplot(data, aes(Pretrend, Outcome, colour = factor(Control))
On 2/13/19 12:33 PM, Martin Beseda wrote:
Hello everybody,
I have a following data-set:
> data$R
[1] 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25
1.30 1.35 1.40
[16] 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00
2.05 2.10 2.15
[31] 2.20 2.25 2
Hello everybody,
I have a following data-set:
> data$R
[1] 0.70 0.75 0.80 0.85 0.90 0.95 1.00 1.05 1.10 1.15 1.20 1.25
1.30 1.35 1.40
[16] 1.45 1.50 1.55 1.60 1.65 1.70 1.75 1.80 1.85 1.90 1.95 2.00
2.05 2.10 2.15
[31] 2.20 2.25 2.30 2.35 2.40 2.45 2.50 2.60 2.65 2.70 2.75 2.8
To Norberto;
Your code _probably_ would have succeeded if you had used color as a grouping
argument, or you could have used group or linetype or probably others, but I
find locating the listing of ggplot2 "behavioral" parameters rather
frustrating. These details are not to be found in any of ?a
Hello,
I am not understanding the problem.
With a made up dataset everything seems right.
set.seed(1234)# make the results reproducible
n <- 10
data <- data.frame(Pretrend = rep(1:10, 2),
Outcome = 1:10 + rnorm(2*n),
Control = rep(1:2, each = n))
libra
> On Feb 12, 2019, at 2:09 PM, Norberto Hernandez
> wrote:
>
> Hi! I am trying to make a scatter/path graph in one variable that is
> divided in two groups (variable Control), but when I use the
> geom_path() option, the line continues from the group one to the group
> two, and I wasn't able
Hi! I am trying to make a scatter/path graph in one variable that is
divided in two groups (variable Control), but when I use the
geom_path() option, the line continues from the group one to the group
two, and I wasn't able to avoid it.I need the path draws over the
group one and then draws over th
HelloI have a question about the geometric morphometris in R. I use generally
the geomorph package for my analyses.I have a set of 2D landmarks.
I want to define my semi landmarks. Here is the list of my landmarks and semi
landmarks.
22 semilandmarks between landmarks 1 and 220 semilandmarks bet
I tried using powersim from R package simr to estimate the number of
participants that I need for an experiment. I performed the simulation based on
the data from my pilot study. The model I used is sketched below:
fit <- glmer(B ~ a+b+a:b
(1+a+b+a:b|Subject) +
(1+a+b+a
> On 12 Feb 2019, at 02:45 , Bert Gunter wrote:
>
> 1. I believe Fisher's exact test is computationally intensive and takes a
> lot of time for large structures, so I would say what you see is what you
> should expect! (As I'm not an expert on this, confirmation or contradiction
> by those who
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