Comments (2)
I've got an idea to do this but I don't think it will be a stat or a geom; more a wrapper like GGally::ggpairs
. The most obvious thing to do is to use facets, which means it won't fit simply into the ggplot structure. Will have a go some time soonish.
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I've had a go at this and created a new ggsdc()
function which you
can access in the GitHub version
devtools::install_github("ellisp/ggseas/pkg")
ggsdc(ldeaths_df, aes(x = YearMon, y = deaths, colour = sex), method = "seas",
frequency = 12, start = c(1949, 1)) +
geom_line()
Let me know what you think - and any stress tresting you can think of would be appreciated too. I'm not sure how robust it is, particularly for the X13-SEATS-ARIMA connection.
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Related Issues (20)
- Doesn't work unless source data are in time order
- Add support for rolling averages
- add option to convert to an index
- CRAN release HOT 1
- make proper testthat testing harness
- Add ability to export to plotly
- add a vignette HOT 1
- ggsdc doesn't play nicely with tibble
- Is there any way to change facet names in ggsdc? HOT 3
- changing the order of levels of the factor mapped to colour doesn't control it in legend
- ggsdc has an example that takes >5 seconds to run on win_build
- Solaris build on CRAN has a problem with vignette HOT 2
- CRAN version returns errors HOT 5
- move packages from 'depends' to 'imports' HOT 1
- calculate frequency and start from posixct dates
- Problem building vignette for Mac on CRAN HOT 1
- New ggplot broke ggseas? HOT 5
- some of the examples use dplyr::filter without importing it
- new ggplot2 breaks ggsdc (and maybe other parts of the package) HOT 1
- Warning on OSX and Solaris with vignette build HOT 1
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