Fix bug in idotplot()
so that it works with a single group.
Fix bug in iplotMap()
so that the drop-down menu works in Firefox.
Update to use CoffeeScript v 2.2.2. Using babel to compile to ES5.
Switch from bower to yarn for javascript dependency management.
Revise scat2scat()
so that the chart options xlab2
and ylab2
can be vectors of length of scat2data
, so that each dataset can have different x- and y-axis labels. Default is to take them from the column names of the datasets in scat2data
.
All charts can now take a heading
and a footer
within chartOpts
. The former will make an <h2>
heading above the figure; the latter will make a <div>
at the bottom. These are intended for stand-alone html files.
In the caption
chart option, now using .html()
rather than .text()
so that you can insert a bit of html (such as <b>
or <code>
).
caption
within chartOpts
which will show up as text below the figure. This is intended for stand-alone html files.Added new tool for exploring pleiotropy between two traits, ipleiotropy()
.
Fixed X chromosome case in iplotScantwo, so that only relevant two-locus genotypes are shown.
Added new chart option pointsize
for iplotCorr
.
In the coffeescript functions, ensure that list arguments like margin
have all of the necessary components. This avoid the problem of everything being messed up if for example margin
is specified within defining margin.inner
.
lodcharts
now includes a quantitative scale for position on the x-axis in the case of a single chromosome
In iplotScanone
and iplotScantwo
, in phenotype x genotype plots when switching between markers on the same chromosome, animate the movement of the points rather than destroying and re-creating the panel.
Rewrite underlying javascript to use new version of d3panels.
Add a new chart, scat2scat
. The idea is to summarize each of a long series of scatterplots with a pair of numbers. Then a scatterplot of those summary statistics is linked to the underlying details: click on a point in the main scatterplot and have the underlying scatterplot be shown.
Add a new chart, itriplot
, for plotting trinomial probabilities, represented as points in an equilateral triangle.
Refactor iplotPXG
and idotplot
so that idotplot
is the main function, and iplotPXG
calls it.
Add some additional options, such as horizontal
for iplotMap
and iplotPXG
.
Change the name of some options, such as linecolor
and linewidth
in iplotCurves
(in place of strokecolor
and strokewidth
).
Add a digits
argument for all plot functions, with the aim to reduce the size of the datasets included in the resulting charts.
Removed the vignettes from the package (for complicated reasons); they’re available at the R/qtlcharts website.
Fix proliferation of tool tips
For use with Shiny, clear SVG before drawing
Changed license and author list in order to post the package on CRAN, http://cran.r-project.org
idotplot
and iplot
now use the names of the input data as individual IDs if indID
is missing or NULL
.
iplotScanone
with pxgtype="ci"
. In the case of phenotypes with missing values, the confidence intervals were incorrect.iplotCorr
has argument scatterplots
that controls whether scatterplots will be shown when clicking on pixels in the heatmap. (If scatterplots=FALSE
, we skip the scatterplots.)iplotMScanone
can plot just points (rather than curves) for the LOD scores and QTL effects in the lower and right-hand panels.
Fix a bug in iplotMScanone
(x-axis labels in right-hand plot weren’t being shown)
setScreenSize
function for controlling the default sizes of charts.Added idotplot
function for plotting a quantitative variable in different categories. (It’s just like iplotPXG
, but with data values not connected to a cross object.)
Reorganized the d3panels code: just using d3panels.min.js
and d3panels.min.css
rather than linking to js code for individual panels.
Refactored the entire package to use htmlwidgets. A big advantage is that the charts now work nicely within RStudio.
To save a plot to a file, you now need to assign the result of a plot function to an object and then use the htmlwidgets function saveWidget
.
It’s now simpler to include interactive charts within an R Markdown document. You simply make the plots in a code chunk in the way that you would at the R prompt. There’s no longer a need to worry about print_qtlcharts_resources()
or results="asis"
.
Separated out the basic panel functions as a separate repository, d3panels, to make it easier for them to be used separately from R/qtlcharts.