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Please, could anyone tell me a way to find 3D vector's length using Eigen library (v.3 if probable)?
Thank you in advance
It's called the norm of a vector:
Vector3f v;
float length = v.norm();
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Is there a library that compute precision and recall of a fitted model in R.
Perhaps the caret package might help.
https://topepo.github.io/caret/measuring-performance.html
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I would like to simulate in R, N Bernoulli/Binary random variables with a prescribed correlation. I have been using the package (MultiOrd) with the function
generate.binary.
However, it is too slow. Is there a computationally fast way to do this in existing packages? Thanks.
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I want to classify Sentinel-2 data using ANN. If anyone knows how to do it in R. Please let's me know
df<-read.csv(file.choose())
head(df)
You can use this code to read data in R
Set working directory before running this code
Sentinel<-list.files(pattern = "tif$",full.names = T)
Sentinel<-stack(Sentinel)
# Check the data
head(Sentinel)
Sentinel
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I use YJ transformation for predictor variables and try to plot the model between predicted and observed values. Could you please help me to do this?
I am looking for a r code for inverse of Yeo-Johnson transformation.
There's an answer to this in the comments for this question over at Cross Validated. Here's the documentation for VGAM::yeo.johnson (use inverse = TRUE).
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How can I create Phyllotaxis spirals in R? Example of such images is shown at the bottom of this page: http://www.mathrecreation.com/2008/09/phyllotaxis-spirals.html The image is attached below:
These are also similar to Fermat's spiral: http://en.wikipedia.org/wiki/Fermat%27s_spiral
I searched and found this method: Spiral Graph in R
but it does not create one of above patterns.
Using the formula from http://algorithmicbotany.org/papers/abop/abop-ch4.pdf
golden.ratio = (sqrt(5) + 1)/2
fibonacci.angle=360/(golden.ratio^2)
c=1
num_points=630
x=rep(0,num_points)
y=rep(0,num_points)
for (n in 1:num_points) {
r=c*sqrt(n)
theta=fibonacci.angle*(n)
x[n]=r*cos(theta)
y[n]=r*sin(theta)
}
plot(x,y,axes=FALSE,ann=FALSE,pch=19,cex=1)