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Is there a R package for this? I´m looking for something similar to qrencoder but in 1D
For now, my walkaround solution is to use python-barcode through reticulate but I would like to use a R library.
library(reticulate)
barcode <- import("barcode")
name <- barcode$generate('EAN13', '7750243002455', output='barcode_svg')
My ultimate goal is to show barcodes of my products on a Shiny app
Have a look at the zintr package, which uses zint.
barcode_print(8675309, "barcode1.png")
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I would like to simulate in R, N Bernoulli/Binary random variables with a prescribed correlation. I have been using the package (MultiOrd) with the function
generate.binary.
However, it is too slow. Is there a computationally fast way to do this in existing packages? Thanks.
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I know with using pack 'real', we can use embedded R in Prolog. But I met problems to use this pack. And I didn't find simple examples of using this pack.
Can somebody give a simple example of this pack?
e.g. Loading Prolog values on to R variables and then call R functions on these values (generate a plot by R function or whatever).
The syntax is the same as the SWISH version I think so just look here:
http://swish.swi-prolog.org/example/Rserve.swinb
and
http://swish.swi-prolog.org/example/Rdataframe.swinb
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I want to classify Sentinel-2 data using ANN. If anyone knows how to do it in R. Please let's me know
df<-read.csv(file.choose())
head(df)
You can use this code to read data in R
Set working directory before running this code
Sentinel<-list.files(pattern = "tif$",full.names = T)
Sentinel<-stack(Sentinel)
# Check the data
head(Sentinel)
Sentinel
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I am going to generate a Run Chart in R. I need a package and example to show me how to do this. I found the "qicharts" package but apparently is has a problem to install.
what kind pf Problem do you have while installing "qicharts"? Do you get an error? I am asking because it is working for me.
Nevertheless you might also want to have a lock at the "qcc"-Package. Here you can find something like a small introduction and here is the cran help to the package.
But I also think that the chance is high that you can plot your with "ggplot2" too.
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Is there a package for approximating a function using Chebychev Polynomials?
I was formerly using Matlab and there was a package called Compecon that can approximate a function using Chebychev Polynomials.
I am wondering if there is any packages similar for Julia.
Or is there any packages in C or fortran or Python that can do this?
Thanka a lot!
You might want to check out ApproxFun.jl, it may be relevant.
https://github.com/QuantEcon/CompEcon.jl and related https://github.com/QuantEcon/BasisMatrices.jl have the capacity I believe.