Topic: magrittr Goto Github
Some thing interesting about magrittr
Some thing interesting about magrittr
magrittr,Debug and Refactor magrittr Pipelines
User: alistaire47
Home Page: https://alistaire47.github.io/pipecleaner
magrittr,Create tabs of View() output for each chained pipe
User: daranzolin
magrittr,Working with data in Python, R, and Julia
User: dnabased
magrittr,Pipe a function into help()
User: erictleung
Home Page: https://erictleung.com/hp
magrittr,Algunos materiales de apoyo que he ido realizando en el tiempo
User: estebanrucan
Home Page: https://estebanrucan.github.io/personal-book/
magrittr,Taller de R en Febrero de 2021
User: estebanrucan
magrittr,Indian Ocean Dipole
User: fevzikaya7
Home Page: https://fevzikaya7.github.io/final_indian_fellas/
magrittr,The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
User: gtsa
magrittr,Descriptive statistics and contrast hypothesis assignment of Australian athletes data
User: jvicentem
Home Page: https://jvicentem.github.io/contrast-hypothesis-assignment/contrast-hypothesis-assignment.html
magrittr,Exercises using dplyr and ggplot2 R-packages
User: jvicentem
Home Page: https://jvicentem.github.io/dplyr-and-ggplot2-assignment/Lab-ggplot2.html
magrittr,Exercises using RMarkdown and other R-packages
User: jvicentem
Home Page: https://jvicentem.github.io/point-estimation-assignment/Ejemplo-propuesto-Poisson.html
magrittr,Implements a Data Viewer and a Method to Override
User: krlmlr
Home Page: https://krlmlr.github.io/tidyview/
magrittr,studyPipe: Convenient pipe in python | Pipe pratique en python
User: lucasiscovici
magrittr,Set of slides for a workshop introducing dplyr related functionality, piping and related.
User: m-clark
magrittr,Finding clusters from nearby large cities around the world (metropolitan areas) by using the DBSCAN technique
User: ranjigt
magrittr,Pipe-Friendly Vector Replacement with Case Statements
User: rossellhayes
Home Page: https://pkg.rossellhayes.com/incase/
magrittr,This lecture is part of the "Machine Learning in R" graduate course held at University of Mรผnster, School of Business and Economics (winter term 2021/22). :mortar_board:
User: simonschoe
Home Page: https://simonschoe.github.io/introduction-to-the-tidyverse/
magrittr,Simple Smart Pipe: python productivity-tool for rapid data manipulation
Organization: sspipe
Home Page: https://sspipe.github.io/
magrittr,As part of a group project, I developed separate regression models using R to predict the daily number of batteries and robberies in Chicago using four different datasets. I tested interactive and second-order terms and used stepwise feature selection to find the best model with the given data. I tested several potential models using cross-validation and chose the model that minimized the cross-validation errors while striking a balance with the model's simplicity. I checked the residual assumptions and both models exhibit autocorrelation as indicated by rejecting the null hypothesis of the Durbin-Watson Test. If I had more time, I would try using an ARMA model instead of multiple regression.
User: tboudart
magrittr,Slides and materials for my talk to the Madison R Users Group
User: tjmahr
magrittr,rerun {magrittr} pipelines
User: yonicd
Home Page: https://yonicd.github.io/ripe/
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