Side by side
Phitter vs stats19
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Web
Phitter is focused on distribution fitting, with visual results and several goodness-of-fit measures. Its local browser calculation and Python package offer two ways to work with data, within the stated input and method scope.
Visit Phitter Free plan LinuxMacWindows
stats19 provides a structured R workflow for downloading, preparing, and analyzing Great Britain road casualty data. Its geographic and mapping integrations are useful, but analysts must account for the dataset’s injury and coordinate limits.
Visit stats19The facts
| Phitter | stats19 | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Web | Linux, Mac, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | phitter.io | docs.ropensci.org |
| On statistical analysis software | #47 of 106 | #43 of 106 |
Phitter: what it does well
- Covers 87 continuous and discrete distributions.
- Reports multiple goodness-of-fit results.
- Supports TXT, CSV, XLSX, and public URLs.
- Fitting runs locally in the browser.
- Free plan requires no account and has no row limit.
What to know first
- Web application requires at least 20 numeric observations.
- Site uses analytics and external services.
stats19: what it does well
- Downloads and formats STATS19 data
- Separate collision, casualty, and vehicle tables
- Converts collisions for sf
- Works with mapping packages
- Free package with GitHub and CRAN installation
What to know first
- Requires R 4.1.0 or newer
- STATS19 excludes uninjured crashes
- Rows without coordinates are removed for sf conversion
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