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This is a great tutorial that goes through vectorization, the "apply" function, & parallel programming using the foreach & doParallel
for when our R analyses require > computing power and/or faster programming: https://github.com/R-LadiesMelbourne/2018-03-15_Parallelprogramming_in_R … and recording here:https://www.youtube.com/watch?v=sXEn4M6YDOA …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For an overview and tutorial on how to use
#spaCyR for natural language processing, including text processing, tokenization, analyzing linguistic features & semantic similarity, check out this talk by@nushkee https://gitpitch.com/anamamatelashvili/spacyR_talk/master#/ … and recording here:https://www.youtube.com/watch?v=teouBSocbU0 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For those who are interested in text analysis, check out the talk by
@mariaprokofieva covering text pre-processing, analysis of word frequencies, sentiment analysis, word clouds and topic modelling: https://www.youtube.com/watch?v=WOVwOQ5XhTI … (github repo here: https://github.com/R-LadiesMelbourne/2018-04-17_Text_Aanalysis_in_R …)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Another fab resource for
#socialmedia data analysis including introductory slides, a twitter analysis workable example and also DIY challenges:https://github.com/R-LadiesMelbourne/Follow-Me-Introduction-to-social-media-analysis-in-R …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If you've ever wanted to analyze Twitter data, this is a fabulous tutorial outlining steps to download data through to visualization. ICYMI, twitter only lets you download data from the last 2 weeks, so plan ahead if you have a specific analysis in mind!https://github.com/R-LadiesMelbourne/2017-05-22-Twitter-Workshop …
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
To take your workflow a step further and learn how to apply
#containerisation to your research (& avoid issues w/ different computing environments or software versions) check out the talk by@smwindecker https://github.com/smwindecker/holepunch_rladies/blob/master/rladies_reproducibility.pdf … and recording here:https://www.youtube.com/watch?v=zk9o-sYfAuQ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
You can work through the materials in this github repo by
@SoroorHediyeh to learn how to write a book or thesis in#bookdown:https://github.com/R-LadiesMelbourne/2019-02-27-publications-ready-documents-with-Rmarkdown …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A useful introduction and tutorial for how to write articles in
#bookdown by@annaquagli can be found here: https://rpubs.com/annaquagli/471405 … (bonus if your journal already has an#rmarkdown template!)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
For a great overview of the "evolution" of
#reproducibleresearch, best practices for#rmarkdown, an introduction to#workflowr and how to work with#bigdata in R via#AWS check out the presentation by@MrsLaviniaG here: https://mrslaviniag.github.io/xaringan_presentations/rladies_presentation_22_May_2019.html#1 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The
@RLadiesMelb community really wanted to learn advanced#rstats topics, so in this thread I will highlight some of the useful resources and tips from our events incl.#reproducibleresearch,#rmarkdown,#bookdown,#nlp,#randomforest,#webscraping,#mixOmics
, #rshiny & morePrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
If there is anything in particular that would be helpful to the community please comment below!
5/5Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This week I’ll be tweeting about
@RLadiesMelb and what we are up to, using#rstats for infectious diseases genomic epi research esp#malaria, some of my fave
s #gganimate,#ggtree,#tidyverse,#ggspatial,#tidygraph,#ggraph,#blogdown, and whatever else is helpful! 4/nPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
My journey in R has evolved from using one specific function in one specific package, to using R on a daily basis for my entire workflow from data curation, analysis,
#dataviz,#rmarkdown reporting and more! Now I’m proudly a co-organizer for@RLadiesMelb
3/nPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hi
#RLadies community
my name is Shazia and I’m your curator for the week! I’m originally from a beautiful country in South America, Ecuador
and my father is from the US
. I grew up all over the 
in 5 countries and now I live in Melbourne, Australia
since 2014 1/nPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This week's curator is
@DrShaziaRuybal!!#RLadiespic.twitter.com/TiIwE0Sz12
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks, R Ladies Supporters for being a great audience! I enjoyed my week of curation! Best wishes to everyone's R, stats and data science futures.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This is the general framework I follow when helping a client conduct an analysis of variance. While this process may take different paths depending on the data - like a generalised linear model - the overall process is the same.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
One of the most important things not discussed at all is having a discussion with the client about their research objects and what precisely they want to know - this guides my process more than anything. The next thing I do is plot the data prior to running any analyses.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
What I have not talked about is assessing diagnostics. This is surprisingly easy - call `plot()` on lm, nlme or merMod objects to see some diagnostic plots. The function `bartlett.test()` can be used for testing for heteroscedasticity.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.
. Now I’m doing my post doc in malaria
so I’ll try my best to tweet at time-zone friendly times! 2/n