Rdatatable tweets. Appreciation account by an independent user. #rstats Logos: github.com/Rdatatable/data.t…
Joined January 2019
- Tweets 161
- Following 5
- Followers 792
- Likes 414
5 Photos and videos
rdatatable retweeted
17 Aug 2022
Hey, I've published an extensive introduction to the data.table package in the R programming language. The tutorial was created in collaboration with @AWolwer: statisticsglobe.com/data-tab…
#DataScience #R #RStats #Rpackage #StatisticalAnalysis
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11 Jul 2022
They specifically mention data.table as required skill for the job! 🤓
11 Jul 2022
Are you a good statistician and R programmer?
FAO of the United Nations is looking for consultants with a strong background in the R statistical programming language.
Details: linkedin.com/posts/christian…
Send your CV before July 31st.
#RStats @RStatsJobsBot @rdatatable @tidyverse
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rdatatable retweeted
29 May 2022
A bag of new features coming in #rdatatable. My fav ones are let (an alias for `:=`(...)) and by=.I for row-wise operation.
rdatatable.gitlab.io/data.ta…
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rdatatable retweeted
27 Apr 2022
I wish every tutorial was like this! Not only really clear but also explains the thoughts behind the design of the #rdatatable package.
cran.r-project.org/web/packa…
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Hi. Looking for an alternative to DataCamp with course material on data.table (more than a brief intro). I find that most of the things listed in these threads is tidyverse oriented. We tend to use base r and data.table and the survey package where I work. Thanks for any help
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rdatatable retweeted
If you want speed, learning to use the data.table package in #rstats is a good option too. See also these benchmarks: h2oai.github.io/db-benchmark…
#rdatatable
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One thing I really like about data.table is how easy it makes conditional operations
"Update just part of the data":
dt[condition, variable := calculation]
"Do a conditional calculation and apply broadly"
dt[, growth_since_january := value/mean(value[month==1]), by = group]
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rdatatable retweeted
10 Sep 2021
And if you want to really go for pole position:
library(data.table)
df.all <- rbindlist(lapply(v.filename, fread))
print(df.all)
/cc @rdatatable
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rdatatable retweeted
12 Jun 2021
Hi @MattDowle, I made an introduction a few days ago to the #rdatatable framework using some real world data. This is here (presentations.utilitr.org/at…).
This might interest some of your (French speaking) datatable folks. Associated book chapter here: book.utilitr.org/datatable.h… #RStats
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rdatatable retweeted
8 Jun 2021
Public data, public health -- so below is some public code too. The @rdatatable and #ggplot2 combination makes it a breeze. #rstats for the win
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rdatatable retweeted
27 May 2021
Per the @Rdatatable benchmarks at h2oai.github.io/db-benchmark… (which includes a 'join' problem likely close to your merge issue) you are probably unlikely to beat `data.table` just by going to #Python or #Rcpp. Maybe profile a little and then discuss with team @Rdatatable?
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Some less known features of #Rdatatable like non-equi joins & rolling joins
The unequalled joy of non-equi joins: selbydavid.com/2021/02/13/jo…
non-equi merge in data.table and epidemiology: scitilab.com/post_data/non_e…
R – Data.Table Rolling Joins: gormanalysis.com/blog/r-data…
#Rstats
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rdatatable retweeted
22 May 2021
Love the feeling of succesfully writing nested non-equi join with by = .EACHI, and it runs in seconds on tens of millions of observations. <3 data.table.
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rdatatable retweeted
19 May 2021
#rstats #rdatatable there's an open FR for a functional wrapper to [ that's more pipe-friendly -- please weigh in here:
github.com/Rdatatable/data.t…
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rdatatable retweeted
24 Apr 2021
data.table::fread() is the best CSV reader ever.
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rdatatable retweeted
17 Apr 2021
Need to say it again today, best #rstats packages ever:
1. data.table
2. data.table
3 ggplot2
data.table reduced the runtime of my code from 9 hours to five seconds today! Thank you, @MattDowle (and also @hadleywickham of course for ggplot2)!
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