2023-11-21 v0.1.0
plot_read_depth()
. plt_read_depth()
temporarily, but this will be removed before the next full release.rank_abund()
is broken and is no longer exported. Please file a
bug report if you were using this function.order_taxa()
, by request prop_tax_down()
slightly more efficient by checking up front if
there is nothing to do.order_levs()
because it isn't used anywhere. Its intended
function is performed by order_taxa()
.plot_read_depth()
function.plot_tax_bar()
legloc
argument is now passed directly to
ggplot2::theme(legend.position)
and can take any value that can take.r_ticks
argument. FALSE by default (default behaviour
is unchanged). If TRUE, the tick text on the x-axis is rotated 90
degrees and reads down to up.leglen
option to allow the user to limit how many taxa
are displayed in the legend without removing any taxa from the plot.yscale
argument. Will stop supporting non-linear
y-axes soonrank
argument is missing from the input dat
framemean
argument is not set to TRUE
.ggplot2
namespacelifecycle()
packagebenchmark
folder which contains "good" plotting outputs
against which new versions of the package can be tested. Created a .Rmd
file in that folder which tests plot_tax_bar()
.2023-04-14 v0.0.1 (was v1.0.1)
tax_colours
, which will cycle if there are more than 30 taxa. Having more
than 30 distinguishable colours is not possible anyway.testthat
has been introduced to catch future problemsmain
2022-01-11 v0.0.0 (was v1.0)
right_join()
function in the dplyr
package
contained within the tidyverse
suite of packages. This change broke the
sorting of taxa relative to OTUs/ASVs when running the function
dbig_genera()
which is called by default when you run prop_tax_down()
. dplyr
to version 1.0.0. or later. You can check your current
version of dplyr
by running packageVersion('dplyr')
in your R console.prop_tax_down()
on your data after April of 2020, and you did
not have the dbig = FALSE
flag set, your taxon assignments were
effectively randomized. Any analyses that relied on taxon assignment
(e.g. differential abundance analyses like DESeq, ANCOM, aldex, etc. or
visualizations like taxa bar charts) will be incorrect and need to be
re-run.dplyr
you are currently running, it is
highly recommended that you update to this version of the aftersl1p
package ASAP. The current fix will work with versions of dplyr
from before
and after the change.Add the following code to your website.
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