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| Package: taucharts | ||
| Title: Create Interactive Charts with the JavaScript 'TauCharts' Library | ||
| Version: 0.3.4.9000 | ||
| Version: 0.4.9000 | ||
| Authors@R: c( | ||
| person("Bob", "Rudis", email = "[email protected]", role = c("aut", "cre")), | ||
| person("Kent", "Russell", email = "[email protected]", role = c("aut", "ctb")), | ||
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| #' Turn a simple (single-geom) ggplot plot into an tauchart object | ||
| #' | ||
| #' Takes a ggplot object that has a single geom (it can be geom_line, | ||
| #' geom_point or geom_histogram) and converts it to it's taucahrt counterpart. | ||
| #' It will do it's best to identify plot labels, mapped size & color aesthetics, | ||
| #' and x/y limits.\cr | ||
| #' \cr | ||
| #' If there are aesthetic mappings, \code{as_tauchart} will automaticlly add | ||
| #' a legend. | ||
| #' | ||
| #' @note More aesthetic mappings are planned | ||
| #' @param gg ggplot object | ||
| #' @return tauchart object | ||
| #' @export | ||
| #' @examples | ||
| #' dat <- data.frame(year=seq(1790, 1970, 10), | ||
| #' uspop=as.numeric(usp | ||
| #' set.seed(5689) | ||
| #' data(movies, package="ggplot2") | ||
| #' movies <- movies[sample(nrow(movies), 1000), ] | ||
| #' | ||
| #' gg <- ggplot(dat, aes(x=year, y=uspop)) + geom_line() | ||
| #' as_tauchart(gg) | ||
| #' | ||
| #' gg <- ggplot(dat, aes(x=year, y=uspop)) + geom_point() | ||
| #' as_tauchart(gg) | ||
| #' | ||
| #' gg <- ggplot(dplyr::count(movies, rating), aes(rating, n)) + geom_bar(stat="identity") | ||
| #' as_tauchart(gg) | ||
| #' | ||
| #' gg <- ggplot(mtcars) + geom_point(aes(x=mpg, y=wt, color=cyl)) | ||
| #' as_tauchart(gg) | ||
| #' | ||
| #' gg <- ggplot(mtcars, aes(x=mpg, y=wt, color=am, size=wt)) + geom_point() | ||
| #' as_tauchart(gg_m2) | ||
| #' | ||
| #' data(economics, package="ggplot2") | ||
| #' gg <- ggplot(economics) + geom_line(aes(x=date, y=unemploy)) | ||
| #' as_tauchart(gg) %>% tau_guide_x(tick_format="%Y") | ||
| as_tauchart <- function(gg) { | ||
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| if (!inherits(gg, c("gg", "ggplot"))) { | ||
| stop("as_tauchart only works with ggplot objects", call.=FALSE) | ||
| } | ||
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| gb <- ggplot_build(gg) | ||
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| if (length(gb$plot$layers) > 1) { | ||
| stop("as_tauchart only works with single-layer-geoms", call.=FALSE) | ||
| } | ||
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| plot_type <- gb$plot$layers[[1]]$geom$objname | ||
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| x <- as.character(gb$plot$mapping$x %||% gb$plot$layers[[1]]$mapping$x %||% NULL) | ||
| y <- as.character(gb$plot$mapping$y %||% gb$plot$layers[[1]]$mapping$y %||% NULL) | ||
| color <- gb$plot$mapping$colour %||% gb$plot$layers[[1]]$mapping$colour %||% NULL | ||
| size <- gb$plot$mapping$size %||% gb$plot$layers[[1]]$mapping$size %||% NULL | ||
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| color <- grep("factor", as.character(color), value=TRUE, invert=TRUE) %||% NULL | ||
| size <- grep("factor", as.character(size), value=TRUE, invert=TRUE) %||% NULL | ||
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| r_x <- gb$panel$ranges[[1]]$x.range | ||
| r_y <- gb$panel$ranges[[1]]$y.range | ||
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| data <- gb$plot$data | ||
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| tc <- NULL | ||
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| if (plot_type=="line") { | ||
| tau_guide_y( | ||
| tau_guide_x( | ||
| tau_line(tauchart(data), x=x, y=y, color=color, size=size), | ||
| auto_scale=FALSE, label=gb$plot$labels$x, min=r_x[1], max=r_x[2]), | ||
| auto_scale=FALSE, label=gb$plot$labels$y, min=r_y[1], max=r_y[2]) -> tc | ||
| } else if (plot_type=="point") { | ||
| tau_guide_y( | ||
| tau_guide_x( | ||
| tau_point(tauchart(data), x=x, y=y, color=color, size=size), | ||
| auto_scale=FALSE, label=gb$plot$labels$x, min=r_x[1], max=r_x[2]), | ||
| auto_scale=FALSE, label=gb$plot$labels$y, min=r_y[1], max=r_y[2]) -> tc | ||
| } else if (plot_type=="bar") { | ||
| tau_guide_y( | ||
| tau_guide_x( | ||
| tau_bar(tauchart(data), x=x, y=y, color=color, size=size), | ||
| auto_scale=FALSE, label=gb$plot$labels$x, min=r_x[1], max=r_x[2]), | ||
| auto_scale=FALSE, label=gb$plot$labels$y, min=r_y[1], max=r_y[2]) -> tc | ||
| } else { | ||
| stop("as_tauchart only works with geom_line, geom_point and geom_histogram", call.=FALSE) | ||
| } | ||
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| if (!is.null(color) | !is.null(size)) tc <- tau_legend(tc) | ||
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| tc | ||
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| } | ||
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| Original file line number | Diff line number | Diff line change |
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| % Generated by roxygen2 (4.1.1): do not edit by hand | ||
| % Please edit documentation in R/as_tauchart.r | ||
| \name{as_tauchart} | ||
| \alias{as_tauchart} | ||
| \title{Turn a simple (single-geom) ggplot plot into an tauchart object} | ||
| \usage{ | ||
| as_tauchart(gg) | ||
| } | ||
| \arguments{ | ||
| \item{gg}{ggplot object} | ||
| } | ||
| \value{ | ||
| tauchart object | ||
| } | ||
| \description{ | ||
| Takes a ggplot object that has a single geom (it can be geom_line, | ||
| geom_point or geom_histogram) and converts it to it's taucahrt counterpart. | ||
| It will do it's best to identify plot labels, mapped size & color aesthetics, | ||
| and x/y limits.\cr | ||
| \cr | ||
| If there are aesthetic mappings, \code{as_tauchart} will automaticlly add | ||
| a legend. | ||
| } | ||
| \note{ | ||
| More aesthetic mappings are planned | ||
| } | ||
| \examples{ | ||
| dat <- data.frame(year=seq(1790, 1970, 10), | ||
| uspop=as.numeric(usp | ||
| set.seed(5689) | ||
| data(movies, package="ggplot2") | ||
| movies <- movies[sample(nrow(movies), 1000), ] | ||
|
|
||
| gg <- ggplot(dat, aes(x=year, y=uspop)) + geom_line() | ||
| as_tauchart(gg) | ||
|
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||
| gg <- ggplot(dat, aes(x=year, y=uspop)) + geom_point() | ||
| as_tauchart(gg) | ||
|
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||
| gg <- ggplot(dplyr::count(movies, rating), aes(rating, n)) + geom_bar(stat="identity") | ||
| as_tauchart(gg) | ||
|
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| gg <- ggplot(mtcars) + geom_point(aes(x=mpg, y=wt, color=cyl)) | ||
| as_tauchart(gg) | ||
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| gg <- ggplot(mtcars, aes(x=mpg, y=wt, color=am, size=wt)) + geom_point() | ||
| as_tauchart(gg_m2) | ||
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| data(economics, package="ggplot2") | ||
| gg <- ggplot(economics) + geom_line(aes(x=date, y=unemploy)) | ||
| as_tauchart(gg) \%>\% tau_guide_x(tick_format="\%Y") | ||
| } | ||
|
|
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