Other packages > Find by keyword >

fasstr  

Analyze, Summarize, and Visualize Daily Streamflow Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fasstr", "0.5.3")



Attach the package and use:
library("fasstr")
Maintained by
Jon Goetz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-09
Latest Update: 2024-09-27
Description:
The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various functions to tidy and screen daily stream discharge data, calculate and visualize various summary statistics and metrics, and compute annual trending and volume frequency analyses. It features useful function arguments for filtering of and handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey of Canada hydrometric database ().
How to cite:
Jon Goetz (2020). fasstr: Analyze, Summarize, and Visualize Daily Streamflow Data. R package version 0.5.3, https://cran.r-project.org/web/packages/fasstr. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.3.1 (2020-01-09 13:40), 0.3.2 (2020-11-07 07:00), 0.3.3 (2021-10-21 06:20), 0.4.0 (2021-12-04 06:20), 0.4.1 (2021-12-11 00:40), 0.5.0 (2022-10-21 21:15), 0.5.1 (2023-03-22 19:30), 0.5.2 (2024-03-28 20:20)
Other packages that cited fasstr R package
View fasstr citation profile
Other R packages that fasstr depends, imports, suggests or enhances
Complete documentation for fasstr
Functions, R codes and Examples using the fasstr R package
Some associated functions: add_basin_area . add_cumulative_volume . add_cumulative_yield . add_daily_volume . add_daily_yield . add_date_variables . add_rolling_means . add_seasons . calc_all_annual_stats . calc_annual_cumulative_stats . calc_annual_extremes . calc_annual_flow_timing . calc_annual_highflows . calc_annual_lowflows . calc_annual_normal_days . calc_annual_outside_normal . calc_annual_peaks . calc_annual_stats . calc_daily_cumulative_stats . calc_daily_stats . calc_flow_percentile . calc_longterm_daily_stats . calc_longterm_mean . calc_longterm_monthly_stats . calc_longterm_percentile . calc_monthly_cumulative_stats . calc_monthly_stats . compute_annual_frequencies . compute_annual_trends . compute_frequency_analysis . compute_frequency_quantile . compute_full_analysis . compute_hydat_peak_frequencies . fasstr-package . fill_missing_dates . plot_annual_cumulative_stats . plot_annual_extremes . plot_annual_extremes_year . plot_annual_flow_timing . plot_annual_flow_timing_year . plot_annual_highflows . plot_annual_lowflows . plot_annual_means . plot_annual_normal_days . plot_annual_normal_days_year . plot_annual_outside_normal . plot_annual_stats . plot_annual_stats2 . plot_annual_symbols . plot_daily_cumulative_stats . plot_daily_stats . plot_data_screening . plot_flow_data . plot_flow_data_symbols . plot_flow_duration . plot_longterm_daily_stats . plot_longterm_monthly_stats . plot_missing_dates . plot_monthly_cumulative_stats . plot_monthly_means . plot_monthly_stats . plot_monthly_stats2 . reexports . screen_flow_data . write_flow_data . write_full_analysis . write_objects_list . write_plots . write_results . 
Some associated R codes: add_basin_area.R . add_cumulative_volume.R . add_cumulative_yield.R . add_daily_volume.R . add_daily_yield.R . add_date_variables.R . add_rolling_means.R . add_seasons.R . calc_all_annual_stats.R . calc_annual_cumulative_stats.R . calc_annual_extremes.R . calc_annual_flow_timing.R . calc_annual_highflows.R . calc_annual_lowflows.R . calc_annual_normal_days.R . calc_annual_outside_normal.R . calc_annual_peaks.R . calc_annual_stats.R . calc_daily_cumulative_stats.R . calc_daily_stats.R . calc_flow_percentile.R . calc_longterm_daily_stats.R . calc_longterm_mean.R . calc_longterm_monthly_stats.R . calc_longterm_percentile.R . calc_monthly_cumulative_stats.R . calc_monthly_stats.R . compute_annual_frequencies.R . compute_annual_trends.R . compute_frequency_analysis.R . compute_frequency_quantile.R . compute_full_analysis.R . compute_hydat_peak_frequencies.R . fasstr-package.R . fill_missing_dates.R . plot_annual_cumulative_stats.R . plot_annual_extremes.R . plot_annual_extremes_year.R . plot_annual_flow_timing.R . plot_annual_flow_timing_year.R . plot_annual_highflows.R . plot_annual_lowflows.R . plot_annual_means.R . plot_annual_normal_days.R . plot_annual_normal_days_year.R . plot_annual_outside_normal.R . plot_annual_stats.R . plot_annual_stats2.R . plot_annual_symbols.R . plot_daily_cumulative_stats.R . plot_daily_stats.R . plot_data_screening.R . plot_flow_data.R . plot_flow_data_symbols.R . plot_flow_duration.R . plot_longterm_daily_stats.R . plot_longterm_monthly_stats.R . plot_missing_dates.R . plot_monthly_cumulative_stats.R . plot_monthly_means.R . plot_monthly_stats.R . plot_monthly_stats2.R . screen_flow_data.R . utils.R . write_flow_data.R . write_full_analysis.R . write_objects_list.R . write_plots.R . write_results.R . zzz.R .  Full fasstr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

correlation  
Methods for Correlation Analysis
Lightweight package for computing different kinds of correlations, such as partial correlations, Ba ...
Download / Learn more Package Citations See dependency  
cdlTools  
Tools to Download and Work with USDA Cropscape Data
Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
genie  
Fast, Robust, and Outlier Resistant Hierarchical Clustering
Includes the reference implementation of Genie - a hierarchical clustering algorithm that links two ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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