Rcpp
due to a
change in the behaviour of the package causing ERRORs on CRAN
checkscategory()
so that
categories are based on temperature greater (lesser) than the thresholds
and not greater (lesser) than or equal togeom_flame()
to work with
plotly
now that it is no longer directly
supportedts2clm()
,
detect_event()
, and exceedance()
categories
argument to
detect_event()
category()
functionexceedance
now outputs a one row all NA data.frame when
there are no events in exceedance of the thresholdplotly
dependencies were removed
due to the orphaning of the package
geom_flame
to work with
plotly
may be found here:
https://github.com/robwschlegel/MHWapp/blob/master/shiny/functions.Rproto_event
that caused
joinAcrossGaps
argument to flag the first n days of a time
series as part of an eventzoo
from make_whole
.MCScorrect
argument to catgegory
function that allows the user to bound the bottom threshold for MCS
categories to -1.8Cdplyr v1.0.0 no longer handles empty data.frames the same
detect_event
and
category
return single row NA data.frames insteadThinking about phasing out
data.table
category()
now works with MCS generated by
detect_event()
data.table
and
dplyr
dplyr
v1.0.0 did not introduce any bugsFixed bug in detect_event()
caused by
data.table
data.table
no longer allows rounding
of NA valuesevent_line()
caused by
data.table
event_line()
make_whole_fast()
heatwaveR
packagedplyr
and
tibble
dependenciesdplyr
functions with
plyr
as they appear to be slightly faster
and also don’t have the same multicore issues that more recent
dplyr
developments have createdroundRes
argument to detect_event()
to allow users to decide the rounding precision of the returned
resultsts2clm()
that does not alter any
functionalitytidyverse
from the list of suggested
packages and the important bug fixes to category()
Fixed bug in category()
that incorrectly returned
the difference between seas
and thresh
as the
daily intensity value, rather than the actual temperature anomaly above
seas
thresh
as
Moderate
, they are now NA
category()
now adds lower case letters to the ends
of event names if there were multiple large events within the same
year
Added roundVal
argument to category()
to allow users to decide the rounding precision of the returned
results
tidyverse
from the list of
suggested packagesNA
values was
not as rare of a problem as first thought1:n
vector
creation, detect_event()
and category()
now
produce empty data.frames and not one row NA
dataframeA bug was discovered where the ts2clm()
function
does not first check that the time series being fed to it is in correct
chronological order
An update to data.table
sometime in August, 2019
reduced the packages tolerance for code with 1:n
in it
1:n
has been replaced with
seq_len(n)
An update to the ggplot2
package some time back in
August, 2019 changed slightly how Geoms work internally
geom_lolli()
to fall over in very rare
circumstances so this issue has been addressedUpdated the OISST Preparation
vignette to match the
improvements to the rerddap
package
Also updated the vignette to be more clear to contact NOAA about data retrieval issues
Added season
argument to category()
,
which allows the user to specify which season of the MHWs they are
interested in:
Algiers
time series for examples on
using multiple thresholds for atmospheric dataevent_line()
data.table
and ggplot2
dependencies to importsheatwaveR
is now dependency freets2clm()
heatwaveR
to 2018-12-31n
and n_gap
arguments to
geom_flame()
to allow proper screening of heatspikesgeom2trace.GeomFlame
event_line()
to allow
users to manipulate the output more without having to get into the
source code.geom2trace.GeomFlame
that now allows
geom_flame()
to be converted to an interactive plotly
object via plotly::ggplotly()
Finished Alternative Thresholds (Complex Climatologies) vignette
Bumped code coverage back up to 100%
AN important potential backwards compatibility breaking change is
that by default ts2clm()
and exceedance()
will
no longer produce a var
column
var = TRUE
may be given to produce this
columnSubmitted v0.3.6 to CRAN
exceedance(maxPadLength)
from 3
to
FALSE
to match the new default for
ts2clm()
event_line()
to no
longer require the user to provide start_date
and
end_date
argumentsdetect_events.R()
for
returning the proto events rather than a table for the event
metricsevent_line()
outputexceedance()
so that it is the same as ts2clm()
event_line()
that caused it to graph
events outside of the spread
rangemaxPadLength
behaviour in ts2clm()
to match the Python default settingsblock_average()
outputblock_average()
clim_calc()
reinstated to allow for calculation of
clims with missing datavar
calculations reinstated for documentation
issuests2clm()
no longer calls clim_calc()
, but
clim_calc_cpp()
onlysmooth_percentile()
no longer provides option to create
variance climatology (the need to no longer create var seemed to not be
fully implemented in 0.3.4)ts2clm()
no longer calculates variance column by
defaultmake_whole()
has been deprecated in favour of
make_whole_fast()
proto_event()
to return no
events than to stop message with an error.detect_event()
without any
required changescategory()
required a bit of cajoling to also output a
blank dataframemake_whole_fast()
to provide a cleaner
internal outputts2clm()
that prevented calculation of
clims with large contiguous missing periods of data (e.g. ice
coverage).category()
that allows one to have
the function also output the day-to-day (long) category values, rather
than just the summary (wide) output.clim_calc_cpp
not being
able to calculate clims from baselines not beginning and ending on the
Julian year by making clim_spread
plug the gaps beforehand
with row-wise means.make_whole_fast
which did
not create a whole, complete time series (i.e. missing dates were still
present); the missing dates caused clim_calc_cpp
to
failggplot2
changesproto_event
now handles all event calculations ‘in
house’detect_event
to now be given a
theoretically limitless number of thresholdslolli_plot
being asked to highlight
more events than are presentts2clm
detect_event
and exceedance
make_whole
and testingblock_average
make_whole
and
make_whole_fast
detect_event
to better match Python
versiondetect_event
outputclim_calc_ccp()
for faster
climatology calculations; speed of climatology calculation comes down
from 50.6 ms in R to 3.4 ms in C++ on my MacBook Pro (15-inch, 2017) 2.9
GHz Intel Core i7 16 GB RAM computerlolli_plot()
and
event_line()
ts2clm()
detect_event()
smooth_percentile()
by using RcppRollgeom_lolli()
n argumentlolli_plot()
y-axis rangemake_whole()
clim_spread()
now returns a matrix, not a data frame. This
makes the loop in clim_calc()
much faster. In testing with
the sst_WA data, it leads to a 3.7 fold speed improvement (520 ms down
to 140 ms).make_whole()
(60 ms down to 40 ms)detect()
in favour of the new
pipelineexceedance()
to utilise the internal
functionsblock_average()
ts2clm()
and
detect_event()
pipeline returns the same results as the old
make_whole()
and detect()
pipelinedetect_event()
now passing checksdetect()
function was unpacked and simplified.
Internal code is now in new functions, most of which will not be seen by
the user. They are make_whole()
proto_event()
,
clim_calc()
, smooth_percentile()
,
clim_spread()
, and ts2clm()
ts2clm()
used instead of
detect_clim()
exceedance()
function testthat checks updated to
account for change in variable namingdetect()
has now been broken into
detect_clim()
and detect_event()
detect()
category()
block_average()
detect()
exceedance()
threshold
for
exceedance()
exceedance()
error messagesevent_line()
lolli_plot()
lolli_plot()
error messagescategory()
function returns the category results
for eventsgeoms.R
heatwaveR
hex logo added to sitecategory
option to event_line()
detect()
event_line()
not plotting MCSs correctlydetect()
raster::quantile()
to
stats::quantile()
detect()
as
requested by Maxime Marin (), The University of Tasmania (IMAS) – CSIRO
(O&A), and which is present in the python version of the
packagedetect()
block_average()
make_whole()
event_line()
to acknowledge column names other
than t
and temp
lolli_plot()
to use underlying
geom_lolli()
NEWS.md
file to track changes to the
package.RmarineHeatWaves
package to
this repopkgdown
site live