HydroState VS sjPlot

Compare HydroState vs sjPlot and see what are their differences.

HydroState

An R package for identifying regime change in streamflow. (by peterson-tim-j)

sjPlot

sjPlot - Data Visualization for Statistics in Social Science (by strengejacke)
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HydroState sjPlot
1 2
9 597
- -
4.6 5.4
5 months ago about 2 months ago
R R
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HydroState

Posts with mentions or reviews of HydroState. We have used some of these posts to build our list of alternatives and similar projects.

sjPlot

Posts with mentions or reviews of sjPlot. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing HydroState and sjPlot you can also consider the following projects:

expotools - Useful methods for Exposome research.

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

renjin - JVM-based interpreter for the R language for the statistical analysis.

wesanderson - A Wes Anderson color palette for R

biomisc_R - command line bioinformatic scripts written in R

lego-data - Distribution of colors of various LEGO themes

MicrobiomeStat - Track, Analyze, Visualize: Unravel Your Microbiome's Temporal Pattern with MicrobiomeStat

tanya-data-viz - Personal data visualization side projects.

hermiter - Efficient Sequential and Batch Estimation of Univariate and Bivariate Probability Density Functions and Cumulative Distribution Functions along with Quantiles (Univariate) and Nonparametric Correlation (Bivariate)