magrittr
There are 27 repositories under magrittr topic.
daranzolin/ViewPipeSteps
Create tabs of View() output for each chained pipe
sspipe/sspipe
Simple Smart Pipe: python productivity-tool for rapid data manipulation
gdemin/maditr
Fast Data Aggregation, Modification, and Filtering
alistaire47/pipecleaner
Debug and Refactor magrittr Pipelines
tjmahr/MadR_Pipelines
Slides and materials for my talk to the Madison R Users Group
yonicd/ripe
rerun {magrittr} pipelines
rossellhayes/incase
Pipe-Friendly Vector Replacement with Case Statements
m-clark/data-manipulation-in-r
Set of slides for a workshop introducing dplyr related functionality, piping and related.
atheriel/rrails
Railroad-oriented programming, in R
simonschoe/introduction-to-the-tidyverse
This lecture is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2021/22). :mortar_board:
Ilvondir/bigmac-price-analysis
Bigmac price analysis based on data from around the world.
krlmlr/tidyview
Implements a Data Viewer and a Method to Override
estebanrucan/taller-de-software-estadistico
Taller de R en Febrero de 2021
fevzikaya7/final_indian_fellas
Indian Ocean Dipole
ranjiGT/dbscan-metropolian
Finding clusters from nearby large cities around the world (metropolitan areas) by using the DBSCAN technique
estebanrucan/personal-book
Algunos materiales de apoyo que he ido realizando en el tiempo
tboudart/Chicago-Crime-Regression-Analysis
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.
DNAbased/DataFramed
Working with data in Python, R, and Julia
erictleung/hp
Pipe a function into help()
gtsa/Accelerometers_Wearable_Data---Getting_and_Cleaning
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.
jvicentem/contrast-hypothesis-assignment
Descriptive statistics and contrast hypothesis assignment of Australian athletes data
jvicentem/dplyr-and-ggplot2-assignment
Exercises using dplyr and ggplot2 R-packages
jvicentem/one-dimensional-random-variables-assignment
Exercises using RMarkdown and other R-packages
jvicentem/point-estimation-assignment
Exercises using RMarkdown and other R-packages
jvicentem/probability-distributions-assignment
Exercises using RMarkdown and other R-packages
lucasiscovici/studyPipe
studyPipe: Convenient pipe in python | Pipe pratique en python