Code bits

Here I provide various code bits that I wrote for fun or for learning some aspects. It’s here for you if you are interested:

2D Gaussian fits: a colleague coming from Matlab wanted to be able to fit 2D Gaussians from Raman mappings. It’s actually not too hard with nls() and a tidy tibble. The only thing is that the initial guess of peaks positions needs to be not very far from the actual peaks positions – you can either provide it by hand or make an automatic peak finder.
Fractals: I played around with the Mandelbrot set to make fractals, and compared a full-R code to a code using Rcpp (it was for me the occasion of my first code using Rcpp)… Rcpp wins (largely!) in terms of speed here! And it makes for suuuuuper nice images, too. I got inspiration from a R-bloggers post.

# Code bits {.unnumbered}


[Here](https://github.com/colinbousige/rclass/tree/main/code_bits) I provide various code bits that I wrote for fun or for learning some aspects. It's here for you if you are interested:

- [2D Gaussian fits](https://github.com/colinbousige/rclass/tree/main/code_bits/fit_2d_gaussian): a colleague coming from Matlab wanted to be able to fit 2D Gaussians from Raman mappings. It's actually not too hard with `nls()`{.R} and a tidy `tibble`. The only thing is that the initial guess of peaks positions needs to be not very far from the actual peaks positions – you can either provide it by hand or make an automatic peak finder. 
- [Fractals](https://github.com/colinbousige/rclass/tree/main/code_bits/fractal): I played around with the Mandelbrot set to make fractals, and compared a full-R code to a code using `Rcpp` (it was for me the occasion of my first code using `Rcpp`)... `Rcpp` wins (largely!) in terms of speed here! And it makes for suuuuuper nice images, too. I got inspiration from a [R-bloggers post](https://www.r-bloggers.com/2017/06/the-mandelbrot-set-in-r-2/).


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```{r}
#| fig-cap: ""
#| fig-subcap: 
#|      - "Fitting a Raman map"
#|      - "A fractal showing the Mandelbrot set"
#| echo: false
#| layout: "[1.4, 1]"
#| out-width: "40%"
knitr::include_graphics("code_bits/fit_2d_gaussian/raman_map.png")
knitr::include_graphics("code_bits/fractal/fractal.png")
```

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