infer: a package for tidy statistical inference
public group
Details
Speakers:
- Chester Ismay - DataCamp - http://chester.rbind.io/
- Andrew Bray - Reed College - http://andrewpbray.github.io/
Description: How do you code-up a permutation test in R? What about an ANOVA or a chi-square test? The `infer` package was created to unite these and other common statistical inference tasks into an expressive and intuitive framework. This talk will focus on the design principles of the package, which are firmly motivated by the tidy tools manifesto. It will also discuss the implementation, centered on the common conceptual threads that link a surprising range of hypothesis tests and confidence intervals. Lastly, we'll walk through some examples of how to implement the code. The package is aimed to be useful to new students of statistics as well as seasoned practitioners.
infer: https://infer.netlify.com/
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Doors open after 6 - DO NOT SHOW UP BEFORE 6 - we'll start about 630. Also, DO NOT SHOW UP BEFORE 6. Repeat after me: DO NOT SHOW UP BEFORE 6.
If you have any trouble message me in the meetup app, or on Twitter at @pdxrlang or @sckottie
Hashtag for PDX R meetups: #pdxrlang & the Twitter account to follow/tweet at is @pdxrlang We also use http://pdxdata.slack.com/ for a back-channel during MeetUps and in between. Invite yourself here: http://pdxdata.org/slack/
- Chester Ismay - DataCamp - http://chester.rbind.io/
- Andrew Bray - Reed College - http://andrewpbray.github.io/
Description: How do you code-up a permutation test in R? What about an ANOVA or a chi-square test? The `infer` package was created to unite these and other common statistical inference tasks into an expressive and intuitive framework. This talk will focus on the design principles of the package, which are firmly motivated by the tidy tools manifesto. It will also discuss the implementation, centered on the common conceptual threads that link a surprising range of hypothesis tests and confidence intervals. Lastly, we'll walk through some examples of how to implement the code. The package is aimed to be useful to new students of statistics as well as seasoned practitioners.
infer: https://infer.netlify.com/
---------
Doors open after 6 - DO NOT SHOW UP BEFORE 6 - we'll start about 630. Also, DO NOT SHOW UP BEFORE 6. Repeat after me: DO NOT SHOW UP BEFORE 6.
If you have any trouble message me in the meetup app, or on Twitter at @pdxrlang or @sckottie
Hashtag for PDX R meetups: #pdxrlang & the Twitter account to follow/tweet at is @pdxrlang We also use http://pdxdata.slack.com/ for a back-channel during MeetUps and in between. Invite yourself here: http://pdxdata.org/slack/
Portland R User Group
Alchemy Code Lab
30 NW 10th Avenue · Portland, OR
Sponsors
infer: a package for tidy statistical inference