The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
fasstr 0.5.3
Updated: 23 Sep 2024
Bug fixes:
- an error occurs with method-of-moments frequency analyses with
fitdistrplus version 1.2-1. Internal fasstr code has been adjusted to
the fitdistrplus changes.
fasstr 0.5.2
Updated: 27 Mar 2024
Bug fixes:
- added workaround for issue with scales::cut_short_scale() bug caused
by scales 1.3.0. https://github.com/r-lib/scales/issues/413. Fix works
with previous and new versions of scales.
fasstr 0.5.1
Updated: 20 Mar 2023
Bug fixes:
- fixed date_validate bug (issue#93) where functions could not assign
date class when data frame was all NA (eg. Calc_annual_lowflows() for a
seasonal station with no complete years).
- fixed add_seasons bug (issue#94) where left_join was not working
properly
- updated some dplyr and ggplot2 coding with recent updates in those
dependencies
fasstr 0.5.0
Updated: 19 Oct 2022
- This release is a major new update with additional functions and
changes to existing functions to present data and plots in different
ways and more consistency across functions, updating various colours to
viridis scales for accessibility, as well as updating some internal
processes and fixing some minor bugs. Some functions have been
superseded by others, but all functions will still be available within
the package.
New functions:
- plot_flow_data_symbols() - plots daily data with coloured points
designating symbol categories from symbols column
- plot_annual_symbols() - plots symbols by day of year or annual
counts or percent of days with symbols from symbols column
- plot_annual_stats2() - plotting annual stats in ribbons (similar to
plot_daily_stats)
- plot_monthly_stats2() - plotting faceted monthly stats in ribbons
(similar to plot_daily_stats)
- plot_monthly_means() - plotting long-term monthly means with
percents of long-term MADs
- calc_annual_highflows() and plot_annual_highflows() - calcs/plots
annual high flow data, similar to _annual_lowflow() functions
- calc_annual_extremes() - plots the values and dates from annual
minimums and maximums for each year, replacing calc_annual_peaks()
- plot_annual_extremes() - plots the values and dates from annual
minimums and maximums for each year, from calc_annual_extremes()
- plot_annual_extremes_year() - plots the values and dates from annual
minimums and maximums fora given year
- calc_annual_normal_days() and plot_annual_normal_days() - counts
number of normal and above/below normal days - replaced superseded
_annual_outside_normal() functions
- plot_annual_normal_days_year() - plot days above normal, below
normal and normal for a specific year
- plot_annual_flow_timing_year() - plot annual timing of flows for a
specific year
Function updates:
- plot_missing_data() - new default plot type in tile format. Can
change to original bar plot using plot_type = “bar”.
- plot_data_screening() - now changes the geom_point style based on if
data is complete or has missing data (plot_availability argument) and
now allows choice of annual summary statistics (include_stats
argument)
- screen_flow_data() - now add columns of counts of symbol categories
provided by symbol column (HYDAT Symbol column). Can remove columns by
using include_symbols = FALSE.
- plot_annual_means() - added 2 percentile (of annual means) lines to
plot, added legend
- calc_annual_peaks() - superseded, replaced with
calc_annual_extremes()
- plot_annual_cumulative_stats() - new default plot type in bar
format. Can change to original line plot using plot_type = “line”.
- calc_annual_outside_normal() and plot_annual_outside_normal() -
superseded, replaced with calc_annual_normal_days() and
plot_annual_normal_days()
- compute_frequency_analysis() - added logical ‘compute_fitting’
argument to fit plotting positions (TRUE, default) or don’t and just
return plotting position results (first 3 objects of output) (FALSE);
add custom plot y-axis title
Other updates:
- Plot legends now centered on right, not top
- Changed colour scales on many plots to the viridis palette
- Can now choose 0 and 100 percentiles (was previously between 1 and
99)
- Added args plot_inner_percentiles, plot_outer_percentiles, and
changed include_extreme to plot_extreme in various functions
- Added ‘complete_years’ argument to several functions for
cross-package consistency. Doesn’t change functionality, but
sets/overrides ignore_missing to FALSE and allowed_missing to 0.
- “Year” axes now labeled “Water Year” if water_year_start != 1
- Some appropriate “Day of Year” axes now labeled “Day of Water Year”
if water_year_start != 1
- Changed y-axis labels on plots using scales::cut_short_scale() to
remove exponents on large numbers
- Annual plots with leading empty years (gaps, missing dates, etc)
will now shift plot to first year of data
- Updated vignettes with new functions and updates
- Added complete_years and allowed_missing arguments to
write_full_analysis outputs on the fasstr functions tab
Bug fixes:
- complete_years function now applied to all functions in compute_ and
write_full_analysis functions
- Removed HYDAT.sqlite file check in compute_HYDAT_peak_frequencies()
- leaves check to tidyhydat
- fixed fill_missing_dates water year bug
Internal code:
- cleaning up argument check functions (logical, numeric etc)
- new origin_date internal function
- new filter_complete_yrs arg option (keep_all) to keep all years of
data, just setting NA if incomplete
- new complete_years fns to get lists of years and start/end/exclude
years
fasstr 0.4.1
Updated: 10 Dec 2021
Updates:
- Fixed major bug: Seasons identifiers were mislabeled when
water_year_start > 1 for add_seasons() and various functions use
seasonal cumulative totals
- Updated documentation - ‘months’ and other param descriptions
- plot_flow_duration() - removed annotation ticks when not in
log-scale
- added ‘log_ticks’ argument to customize adding annotation_ticks or
not when log scale
- removed ‘log_discharge’ from plot_annual_lowflows()
fasstr 0.4.0
Updated: 3 Dec 2021
Updates:
- added flexible ‘allowed_missing’ argument to applicable functions,
that allows users to choose the percentage of missing dates, rather than
binary ignore_missing. ignore_missing argument still functions as it
should (to maintain historical and future use), and is only superseded
when allowed_missing argument is utilized. This argument is currently
applied to functions that make most logical sense (annual and monthly
functions) and are appropriate for calculations, i.e. basin summary
statistics (means, percentiles, minimums, maximums). Versions of this,
allowed_missing_annual and allowed_missing_monthly, exists for some
functions that have both annual and monthly statistics and may have
different allowances; only applied to summary statistics. The new
argument is applied to the following functions:
- allowed_missing argument: calc_annual_lowflows(),
calc_annual_peaks(), calc_annual_stats(), calc_monthly_stats(),
compute_annual_frequencies(), compute_frequency_quantile(),
plot_annual_stats(), plot_annual_lowflows(), plot_annual_means(),
plot_monthly_stats()
- allowed_missing_annual and allowed_missing_monthly:
calc_all_annual_stats(), compute_annual_trends(),
compute_full_analysis(), write_full_analysis()
- added ‘months’ argument to following functions (covers all screen_,
calc_, plot_, and compute_ functions now):
- plot_flow_data() - will plot only data from selected months
- add_cumulative_yield() and add_cumulative_volume() - will accumulate
flows just in selected months
- plot_longterm_daily_stats() - no ribbons where data gaps
- plot_longterm_monthly_stats() - no ribbons where data gaps
- calc_ and plot_daily_cumulative_stats() - will accumulate flows just
in selected months
- calc_ and plot_monthly_cumulative_stats() - will accumulate flows
just in selected months
- calc_ and plot_annual_cumulative_stats() - will only use months
select, won’t calc seasonal totals if not all months
- calc_ and plot_annual_flow_timing() - will use timing from just
selected months
- calc_all_annual_stats() - will only use months select, won’t calc
seasonal totals if not all months
- compute_annual_trends() - will only use months select, won’t calc
seasonal totals if not all months
- compute_ and write_full_analysis() - will only use months select,
won’t calc seasonal totals if not all months
- Updated ‘Users Guide’ vignette and Cheat Sheet with new argument
updates
- New vignette for GitHub Page: Using USGS dataRetrieval R package
with fasstr
- fixed bug: multiple custom groups/STATION_NUMBER’s appropriately
match to data when using a named vector
- fixed bug: plot_daily_cumulative_stats() now plots accurate custom
years
- fixed bug: removed unnecessary legend items from
plot_flow_duration()
- fixed bug: corrected ‘months’ argument in calc_ and
plot_annual_outside_normal() to properly filter
- fixed bug: removed unnecessary NA warning in plot_longterm_daily and
plot_longterm_monthly_stats
- renamed GitHub branches from ‘master’ to ‘main’ and updated web
links
fasstr 0.3.3
Updated: 20 Oct 2021
Updates:
- For trending, changed default/recommended method to ‘zhang’ over
‘yuelipon’ (https://github.com/pacificclimate/zyp/issues/6)
- Removed check for a hydat.sqlite3 file; tidyhydatstop error catches
error
- Removed lubridate package dependency
- Fixed ggplot2::guides deprecated arguments warning
- Simplified some internal coding for efficiency
- Removed some function examples to reduce timing; examples of usage
in vignettes
- Removed TravisCI, added Github Action R-CMD-check using
usethis::use_github_action_check_standard()
fasstr 0.3.2
Updated: 06 Nov 2020
Updates:
- Added calc_annual_peaks() function to calculate both annual n-day
min. and max. flows with dates of occurrence.
- Added error in volume frequency analysis when providing zero or
negative flow values to the logPIII dist.
- Updated volume frequency analysis documentation.
- Updated all vignettes for package updates, corrections, and
issues.
- Added new ‘Get Started’ vignette
- Updated Cheatsheet
- changed yield terminology to water yield from runoff yield
- changed plot axis titles with expression()’s (i.e. m3/s –>
cms)
fasstr 0.3.1
Updated: 08 Jan 2020
Updates:
- added/modified files in prep for CRAN submission
- fixed vignette coding errors
- renamed function calc_longterm_mad to calc_longterm_mean
- updated vignettes and README files
- removed calc_longterm_stats and plot_longterm_stats
- updated Examples in all documentation (replaced with a function
checking for a HYDAT, left for writing functions and larger
analyses)
- fixed multiple typos
- updated DESCRIPTION file
fasstr 0.3.0
Updated: 14 May 2019
Updates:
- Removed logical “water_year” argument and now “water_year_start”
controls the start of year alone (default now 1 for January)
- Renamed calc_longterm_stats and plot_longterm stats to
calc_longterm_daily_stats and plot_longterm_daily_stats
- Renamed ‘include_year’ argument to ‘add_year’ for some
functions
- complete_full_analysis just creates R objects; a new
write_full_analysis saves the results in a single Excel document, with
some plots in a plots folder; renamed ‘sections’ to ‘analyses’
- add_date_variables() outputs changed slightly to match new
water_year_start argument
- Replaced NULL and NA default values for function arguments to
nothing, cleaning up documentation.
- Replaced the package writexls with openxls for more
functionality
- Plotting: changed facet wrap labels, changed trending symbols
- WSC station numbers with lower-case letters now accepted (08nm116
and 08NM116 both work)
- basin_area argument as list now will default to HYDAT area if not
listed, otherwise NA
- Return Period axis has returned to the frequency analysis plot
- Updated all documentation examples
- Internal coding (MonthName levels coding cleaned up)
New:
- calc_longterm_monthly_stats and plot_longterm_monthly_stats that
summarizes annual monthly mean flows data
- calc_longterm_daily_stats and plot_longterm_daily_stats that
summarizes daily mean flows data (calc_longterm_stats equivalent)
- write_full_analysis writes the full analysis and doesn’t create any
objects in R
- testthat functions for testing package (internal usage)
Bugs Fixed:
- No warning now in annual functions if NA values produced for years
listed in “exclude_years” argument
fasstr 0.2.8
Updated: 11 December 2018
Updates:
- README updates
- Renamed calc_lt_mad() and calc_lt_percentile() to
calc_longterm_mad() and calc_longterm_percentile(), respectively.
- Changed the plot_missing_dates points and lines to bar plots.
- changed add_seasons() function from adding two 4 and 2 seasons
columns to adding own custom seasons of desired lengths. All subsequent
function and documentation updated were also completed.
- Renamed some annual and seasonal total volume axes, column names,
and plots names.
- Updated the licence year in .R files.
- Temporarily removed ‘Return Period’ axis from frequency plots due to
ggplot2 3.0.1 issues.
Bugs Fixed:
- compute_full_analysis() now plots all daily statistics plots with
years
New:
- New internal function add_water_months() to streamline some
processes
fasstr 0.2.7
Updated: 27 September 2018
New:
- compute_frequency_analysis() function to calculate a frequency
analysis with custom data (update other frequency analysis functions to
use this function internally)
- Vignettes completed:
- Users Guide
- Full Analysis Guide
- Trends Analysis Guide
- Frequency Analysis Guide
- Under the Hood
Updates:
- frequency analysis updates:
- option to plot the computed curve or not
- changed the names of the outputted objects
- changed the measure names (rolling-day names of the annual_freq
analysis (ex from Q007-day-avg to 7-Day))
- All parameter documentation info in the compute_frequency_analysis
function
- updated full_analysis to include new changes
- Completed Users Guide vignette
- Completed Full Analysis vignette
- Completed Frequency Analysis Vignette
- Updated filetype argument in the write_ functions
- Updated some plot object names
Bug Fixes
- Added trendline to trends plots in compute_full_analysis
fasstr 0.2.6
Updated: 28 June 2018
New:
- plot_annual_means() function to plot annual mean and long-term
means
Updates:
- Axes breaks and ticks on most plots
- Renamed compute_frequency_stat() to
compute_frequency_quantile()
- calc_ and plot_annual_stats, compute_frequency description
updates
- Renamed Timeseries folder to Screening in compute_full_analysis()
function
- README Updates
- Vignettes (renamed full_analysis)
fasstr 0.2.5.1
Updated: 19 June 2018
- Fixed write_objects_list to save in folder it creates
- Fixed calc_daily_stats to remove partial data years
fasstr 0.2.5
Updated: 18 June 2018
New:
- New write_objects_list() function to write all plots and tables from
a list of objects (help with frquency analysis writing)
- Added vignettes:
- ‘fasstr’ Users Guide (to be completed)
- Trending Analysis Guide (to be completed)
- Volume Frequency Analysis Guide (to be completed)
- Under the Hood (to be completed)
Major Function Updates:
- Renamed write_full_analysis to compute_full_analysis which creates a
list object with all results with option to write everything. Fixed
various bugs and issues.
- Joined compute_annual_trends and plot_annual_trends. It now consists
of a list with a tibble of annual data, a tibble of trending results,
and all trending plots
- Added ‘months’ argument to calc_long_term() and all screening and
missing data functions; also an include_longterm argument for longterm
to choose whether to include or not
Other Updates:
- Fixed bug where ‘groups’ column was not kept in resulting tibble,
and add_basin_area(), add_rolling_means()
- Removed Nan and Inf values from calc_monthly_stats when no data
existed for a month
- Plots of longterm_stats, daily_stats, and flow_duration plot nothing
(instead of error) if all data is NA
- Updated documentation for some functions
- Removed colour brewer Set1 on some annual plots due to a lack of
colours in set
fasstr 0.2.4
Updated: 8 May 2018
- Fixed bug where groups function did not work if not
“STATION_NUMBER”
- Added warning if not all dates are dates in column
- Added references in annual_flow_timing() and trending functions
- Added ‘See Also’ documentation for many related functions
- Removed error from daily and monthly cumulative stats/plots with no
basin area (now produces NA)
- Updated write_full_analysis so no section 7 is completed with
insufficient data
fasstr 0.2.3
Updated: 17 April 2018
- Updated write_full_analysis() documentation
fasstr 0.2.2
Updated: 17 April 2018
- Added write_full_analysis() function to write almost almost all
plots and tables in a folder
- Added some interal checks functions
fasstr 0.2.1
Updated: 13 April 2018
- Reformatted examples script in testing folder as a temporary help
document until a vignette is built
- Moved the previous examples script to a new testing script in the
same folder
fasstr 0.2.0
Updated: 9 April 2018
NEW FEATURES
- Summarize and plot by multiple groups (ex. stations)
- Selecting columns of dates, values, and groupings (ex. station
numbers) when using ‘data’ argument
- Exported data frames are tibbles
- Exported plots (‘gg’ class) are within lists (multiple plots are
produced with many plot_ functions)
- Updated plot formatting
- More functions utilizing rolling average days
- More filtering arguments for some functions (months,
complete_years)
- ‘na’ argument is now ‘ignore_missing’ with default of FALSE for all
functions
- Additional write_, calc_, add_, compute_, and plot_ functions
- Renaming of some functions
- Exports pipe operator, %>%, to facilitate tidy analyses
REMOVED FEATURES
- Choice for writing within functions - moved to their own write_ data
and plot functions
INTERNAL IMPROVEMENTS
- Reformatted internal structure, including adding internal functions
for efficiency and argument checks
- Used @Inheritparams to simplify
documentation
fasstr 0.1.0
Updated: 9 Dec 2017
- Initial package beta version
- Use HYDAT argument to extract HYDAT data using ‘tidyhydat’
package
- Included add_, calc_, compute_, and plot_functions
- Included README with basic examples
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.