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bump version and release v0.0.1 on Github
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earowang committed Jun 27, 2017
1 parent 547e42d commit ac63905
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: sugrrants
Title: Supporting Graphics with R for Analysing Time Series
Version: 0.0.0.9000
Version: 0.0.1
Authors@R: c(
person("Earo", "Wang", email = "[email protected]", role = c("aut", "cre")),
person("Di", "Cook", role = "aut"),
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2 changes: 1 addition & 1 deletion NEWS.md
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# sugrrants 0.0.0.9000
# sugrrants 0.0.1

* Added a `NEWS.md` file to track changes to the package.
* Added `frame_calendar` function to compute calendar grids for visual representation of temporal data, coupled with a vignette.
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6 changes: 5 additions & 1 deletion R/draw-key.R
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#'
#' @return A grid grob
#'
#' @keywords internal
#' @name draw-key
NULL

#' @rdname draw-key
#' @export
#'
draw_key_acf <- function(data, params, size) {
grobTree(
draw_key_rect(data, params),
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4 changes: 1 addition & 3 deletions R/geom-acf.R
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#'
#' @description Since the data input is `data.frame`, it's better to sort
#' the date-times from early to recent and make implicit missing values explicit
#' before using `geom_acfbar`.
#' before using `geom_acf`.
#'
#' @inheritParams ggplot2::geom_bar
#' @param lag.max An integer indicating the maximum lag at which to calculate the
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#' default is the "correlation" and other options are "covariance" and "partial".
#'
#' @author Earo Wang
#'
#' @rdname sugrrants-geom
#'
#' @examples
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#' geom_acf()
#'
#' @export
#'
geom_acf <- function(mapping = NULL, data = NULL,
position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE,
lag.max = NULL, type = "correlation", level = 0.95, ...) {
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1 change: 0 additions & 1 deletion R/stat-acf.R
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#' stat_acf(geom = "bar")
#'
#' @export
#'
stat_acf <- function(mapping = NULL, data = NULL, geom = "bar",
position = "identity", na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE, lag.max = NULL, type = "correlation", level = 0.95, ...) {
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4 changes: 2 additions & 2 deletions README.Rmd
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Expand Up @@ -23,11 +23,11 @@ The goal of *sugrrants* is to provide supporting graphics with R for analysing t

## Installation

You could install the development version from Github using
The recommended development version is **v0.0.1** and you could install the version from Github using

```r
# install.packages("devtools")
devtools::install_github("earowang/sugrrants", build_vignettes = TRUE)
devtools::install_github("earowang/sugrrants@v0.0.1", build_vignettes = TRUE)
```

## Usage
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -13,11 +13,11 @@ The goal of *sugrrants* is to provide supporting graphics with R for analysing t
Installation
------------

You could install the development version from Github using
The recommended development version is **v0.0.1** and you could install the version from Github using

``` r
# install.packages("devtools")
devtools::install_github("earowang/sugrrants", build_vignettes = TRUE)
devtools::install_github("earowang/sugrrants@v0.0.1", build_vignettes = TRUE)
```

Usage
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20 changes: 20 additions & 0 deletions _pkgdown.yml
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Rob Hyndman:
href: http://robjhyndman.com

reference:
- title: Calendar based graphics
desc: >
Rearrange `data.frame` or `tibble` into a calendar layout using linear
algebra tools for plotting via `ggplot2`.
contents:
- frame_calendar

- title: Geoms and stats extension to temporal-context data
contents:
- starts_with("geom_")
- starts_with("stat_")

- title: Handle with temporal components
desc: >
These functions provides tools to handle with temporal components.
contents:
- au_holiday
- wday2

navbar:
type: default
left:
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12 changes: 4 additions & 8 deletions docs/reference/frame-calendar.html

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4 changes: 3 additions & 1 deletion man/draw_key_acf.Rd → man/draw-key.Rd

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