inzinference()
where spaces in categories led to some weird formattingmultiplot()
method for handling multiple y
variables, so formulas like inzplot(~x1 + x2 + x3, ...)
are now supportedoptions(inzight.default.palette.cat, inzight.default.palette.cont)
ci.width
argument to inzpar()
for plots and inferences for their confidence intervalstable.direction
argument to inzsummary()
to display tables horizontally (default) or verticallyRColorBrewer::brewer.pal
if n <= 2
inzsummary
and inzinference
for survey regression output (response/predictor wrong way around)svyquantile
for changes in 'survey' 4.1inzsummary
and inzinference
with S3 methodsg1
is specified in getPlotSummary
na.rm = TRUE
to survey methods so summaries and inference show the necessary informationinzplot()
causing axes to be the wrong way around in hex plots for surveyssmooth
is respected for survey data (passed to svysmooth
)This release mainly consists of compatibility changes to accompany 'iNZight' 4.0.
inzplot
, inzsummary
, and inzinference
replace iNZPlot
, iNZSummary
, and iNZInference
, providing a better interface to the package which better first the R ecosystem.col.emph
, col.emphn
, and (by default) plot emphasized points on topcol.fun
to be a character palette nameboxplot
and mean_indicator
(depending on specification of inference.par
)locate
argumentlocal
argument (for exportHTML())main
to include templates for %subet%
and %sizeby%
const_palette_names()
to cont_palette_names()
(originally misspelled)as.svrepdeign
colby
, etc.stringsAsFactors = TRUE
for upcoming R 4.0.0iNZPlot
, for iNZightPlot
, along with similar wrappers iNZSummary
and iNZInference
for summary and inferential information, respectively.Release date: 11 November 2019
use.plotly
attribute to ggplotsgeom_spoke
Release date: 23 September 2019
Release date: 2 September 2019
quasirandom
plot instead of beeswarm
to enable control of swarm width/methodRelease date: 26 August 2019
Release date: 13 August 2019
Release date: 15 July 2019
ggplot
) (#90, @daniel-barnett)Release date: 30 April 2019
plot = FALSE
transform
argument (a named list)Release date: 05 April 019
getPlotSummary
when passing variables namesRelease date: 23 March 2017
exportX()
functionssystem.file()
exportHTML
where arguments not passed correctlyRelease date: 12 December 2016
hide.legend
, logical)Release date: 5 September 2016
n
)col.sub = c("g1col", "g2col")
to adjust them.Release date: 1 October 2015
internal.labels=TRUE
colby
if the variable has only one unique valueRelease date: 14 September 2015
Release date: 04 August 2015
zoom
argument. Works for both univariate and bivariate plots, and a
related functionality for 'zooming in' on bars in a barplot.Release date: 03 August 2015
Release date: 27 July 2015
xlim
and ylim
allow users to
specify the range of values shown on the plotSeveral issues for dotplots have been fixed
Weighting variable used when drawing a scatter plot of survey data
conf
now corresponds to Year 12 intervals in dot plot
inferences (previously, comp
corresponded to this interval)
Release date: 01 July 2015
Release date: 24 June 2015
Release date: 16 June 2015
Dotplot locating implemented using new methodology, with the
additional argument label.extreme = numeric(2)
, allowing users
to specify how many lower and upper points to identify,
respectively.
Equivalently, extreme points (by using Mahalanobis'
distance) can be labelled on scatter plots using label.extreme = numeric(1)
.
Fixed a small bug that stopped inference from working in
dotplots when x
is a factor and y
is the numeric variable.
Fix a bug that caused nbins = 0
in some cases.
Release date: 26 May 2015
The entire package has been rewritten to accommodate complex survey designs. At present, survey objects are not fully supported, however the functionality will be added over time.
A huge reduction in computation requirements for plots to increase efficiency.
Algorithms used to compute inference intervals have been modified to use iNZightMR for comparisons.
Lots of other changes to layout and presentation
Added additional arguments locate
, locate.id
,
locate.col
(and others) for locating points by IDs.
This is used in the improved locator functionality in the main
iNZight
program.
The col.by
and size.by
arguments have been
replaced by colby
and sizeby
Documentation has been added for several of the functions (finally!)
Specifying g2.level
with numbers wasn't working, has been fixed for plots,
summary and inference information.
Added more space to the y-axis on scatter plots
The type of plot used can be specified by setting the
largesample
argument. When set to TRUE
, it uses the histogram
or grid-density plot; when FALSE
it uses the dotplot or scatter
plot. If set to NULL
, it uses the sample size to determine which
plot to draw (default).
To allow identification features and any additional features
to be added to plots afterwards, the last viewport is the one
surrounding the main plot (excluding the plot labels and
legend). Note that this only works if the data haven't been broken
down by g1
.
Display which variables cannot be plot due to too many levels, as well as the number of levels, when attempting to draw bar plot. (max levels = 101).
Trend lines and smoothers added to the legend.
Alternative method of shading grid-tiles on the grid-density plot using quantiles rather than absolute counts. This prevents large counts having too large of an influence.
grid
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