Skip to main content

we should all support women’s football | Charlie Brinkhurst-Cuff

Women’s football is now the country’s fourth-largest participation sport. So why is it still so underfunded and ignored?

When I started playing football as an adult, at the beginning of university age 17, I was having panic attacks. It would be perhaps midway through the game, when I was out of breath after a fast sprint and, usually, when I had either messed up a crucial play, or felt so tired that I was worried that I would mess up the next move.

Each time, my teammates would rally around me, get me water, teach me how to breathe in a way that would reduce the symptoms. After a while, I stopped having panic attacks altogether. The Sunday afternoons I spent with my football team were some of the happiest and purest of my life so far – a genuine safe space filled with laughter and good exercise, plus a bit of drama when it came to taking on other university teams. I played 11-a-side matches for my full three years at university, leaving with stronger legs and friendships than many of my peers.

Continue reading...The Guardian http://ift.tt/2x6lCzc October 01, 2017 at 09:00AM
Labels:

Comments

Post a Comment

Popular posts from this blog

Using RStudio and LaTeX

(This article was first published on r – Experimental Behaviour , and kindly contributed to R-bloggers) This post will explain how to integrate RStudio and LaTeX, especially the inclusion of well-formatted tables and nice-looking graphs and figures produced in RStudio and imported to LaTeX. To follow along you will need RStudio, MS Excel and LaTeX. Using tikzdevice to insert R Graphs into LaTeX I am a very visual thinker. If I want to understand a concept I usually and subconsciously try to visualise it. Therefore, more my PhD I tried to transport a lot of empirical insights by means of  visualization . These range from histograms, or violin plots to show distributions, over bargraphs including error bars to compare means, to interaction- or conditional effects of regression models. For quite a while it was very tedious to include such graphs in LaTeX documents. I tried several ways, like saving them as pdf and then including them in LaTeX as pdf, or any other file ...
Post a Comment
Read more

Controlling legend appearance in ggplot2 with override.aes

[This article was first published on Very statisticious on Very statisticious , and kindly contributed to R-bloggers ]. (You can report issue about the content on this page here ) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In ggplot2 , aesthetics and their scale_*() functions change both the plot appearance and the plot legend appearance simultaneously. The override.aes argument in guide_legend() allows the user to change only the legend appearance without affecting the rest of the plot. This is useful for making the legend more readable or for creating certain types of combined legends. In this post I’ll first introduce override.aes with a basic example and then go through three additional plotting scenarios to how other instances where override.aes comes in handy. Table of Contents R packages Introducing override.aes Adding a guides() layer Using the guide argument in scale_*() Changing multiple aesthetic par...
Post a Comment
Read more