Naiara Andrade naiieandrade

## plot_aligned_series.R
#' When plotting multiple data series that share a common x axis but different y axes,
#' we can just plot each graph separately. This suffers from the drawback that the shared axis will typically
#' not align across graphs due to different plot margins.
#' One easy solution is to reshape2::melt() the data and use ggplot2's facet_grid() mapping. However, there is
#' no way to label individual y axes.
#' facet_grid() and facet_wrap() were designed to plot small multiples, where both x- and y-axis ranges are
#' shared acros all plots in the facetting. While the facet_ calls allow us to use different scales with
#' the \code{scales = "free"} argument, they should not be used this way.
#' A more robust approach is to the grid package grid.draw(), rbind() and ggplotGrob() to create a grid of
#' individual plots where the plot axes are properly aligned within the grid.

## dirichlet_plots.png

      
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                tboggs
                / dirichlet_plots.png
            
            
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              February 13, 2024 03:25
            
              
                A script to generate contour plots of Dirichlet distributions
              
          
## setup.md

      
              1 file
            
          
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                harisibrahimkv
                / setup.md
            
            
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              September 18, 2023 06:26
            
              
                Virtualenv, Django & PostgreSQL setup instructions for the Django beginner level workshop.
              
          
    Setup (Linux)

Virtualenv

It is always recommened to use virtualenv while you are doing development.
virtualenv lets you create isolated development environments. It will help
you not to mixup dependencies when working on more than one project on your
machine.

  
## rest-server.py
#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask_httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':
	#' When plotting multiple data series that share a common x axis but different y axes,
	#' we can just plot each graph separately. This suffers from the drawback that the shared axis will typically
	#' not align across graphs due to different plot margins.
	#' One easy solution is to reshape2::melt() the data and use ggplot2's facet_grid() mapping. However, there is
	#' no way to label individual y axes.
	#' facet_grid() and facet_wrap() were designed to plot small multiples, where both x- and y-axis ranges are
	#' shared acros all plots in the facetting. While the facet_ calls allow us to use different scales with
	#' the \code{scales = "free"} argument, they should not be used this way.
	#' A more robust approach is to the grid package grid.draw(), rbind() and ggplotGrob() to create a grid of
	#' individual plots where the plot axes are properly aligned within the grid.
	#!flask/bin/python
	from flask import Flask, jsonify, abort, request, make_response, url_for
	from flask_httpauth import HTTPBasicAuth

	app = Flask(__name__, static_url_path = "")
	auth = HTTPBasicAuth()

	@auth.get_password
	def get_password(username):
	if username == 'miguel':