Other packages > Find by keyword >

makeFlow  

Visualizing Sequential Classifications
View on CRAN: Click here


Download and install makeFlow package within the R console
Install from CRAN:
install.packages("makeFlow")

Install from Github:
library("remotes")
install_github("cran/makeFlow")

Install by package version:
library("remotes")
install_version("makeFlow", "1.0.2")



Attach the package and use:
library("makeFlow")
Maintained by
Alex J. Krebs
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-24
Latest Update: 2016-08-24
Description:
A user-friendly tool for visualizing categorical or group movement.
How to cite:
Alex J. Krebs (2016). makeFlow: Visualizing Sequential Classifications. R package version 1.0.2, https://cran.r-project.org/web/packages/makeFlow. Accessed 14 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited makeFlow R package
View makeFlow citation profile
Other R packages that makeFlow depends, imports, suggests or enhances
Complete documentation for makeFlow
Functions, R codes and Examples using the makeFlow R package
Some associated functions: FlowSummaries . GateSummaries . addAlpha . colorCount . makeFlow-package . makeFlow . shelters . 
Some associated R codes: FlowSummaries.R . GateSummaries.R . addAlpha.R . colorCount.R . makeFlow.R .  Full makeFlow package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

manipulate  
Interactive Plots for RStudio
Interactive plotting functions for use within RStudio.The manipulate function accepts a plot ...
Download / Learn more Package Citations See dependency  
rCRM  
Regularized Continual Reassessment Method
Fit a 2-parameter continual reassessment method (CRM) model (O'Quigley and Shen (1996), ...
Download / Learn more Package Citations See dependency  
fourPNO  
Bayesian 4 Parameter Item Response Model
Estimate Barton & Lord's (1981) four parameter IRT model w ...
Download / Learn more Package Citations See dependency  
ProcMod  
Informative Procrustean Matrix Correlation
Estimates corrected Procrustean correlation between matrices for removing overfitting effect. Coissa ...
Download / Learn more Package Citations See dependency  
adept  
Adaptive Empirical Pattern Transformation
Designed for optimal use in performing fast, accurate walking strides segmentation from high-densit ...
Download / Learn more Package Citations See dependency  
rpymat  
Easy to Configure an Isolated 'Python' Environment
Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scr ...
Download / Learn more Package Citations See dependency  

27,457

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA