[我想尽可能地在RStudio Viewer中并排查看Highcharter图的确切输出,在此参考文献中完全显示了该内容:http://jkunst.com/highcharter/highcharts.html,因此让我像这样定义它以便简单使用]]
highcharter_all_plot <- function(){ library(highcharter) library(dplyr) library(stringr) library(purrr) n <- 5 set.seed(123) colors <- c("#d35400", "#2980b9", "#2ecc71", "#f1c40f", "#2c3e50", "#7f8c8d") colors2 <- c("#000004", "#3B0F70", "#8C2981", "#DE4968", "#FE9F6D", "#FCFDBF") df <- data.frame(x = seq_len(n) - 1) %>% mutate( y = 10 + x + 10 * sin(x), y = round(y, 1), z = (x*y) - median(x*y), e = 10 * abs(rnorm(length(x))) + 2, e = round(e, 1), low = y - e, high = y + e, value = y, name = sample(fruit[str_length(fruit) <= 5], size = n), color = rep(colors, length.out = n), segmentColor = rep(colors2, length.out = n) ) print(head(df)) create_hc <- function(t) { dont_rm_high_and_low <- c("arearange", "areasplinerange", "columnrange", "errorbar") is_polar <- str_detect(t, "polar") t <- str_replace(t, "polar", "") if(!t %in% dont_rm_high_and_low){ df <- df %>% dplyr::select(-e, -low, -high) } highchart() %>% hc_title(text = paste(ifelse(is_polar, "polar ", ""), t), style = list(fontSize = "15px")) %>% hc_chart(type = t, polar = is_polar) %>% hc_xAxis(categories = df$name) %>% hc_add_series(df, name = "Fruit Consumption", showInLegend = FALSE) } hcs <- c("line", "spline", "area", "areaspline", "column", "bar", "waterfall" , "funnel", "pyramid", "pie" , "treemap", "scatter", "bubble", "arearange", "areasplinerange", "columnrange", "errorbar", "polygon", "polarline", "polarcolumn", "polarcolumnrange", "coloredarea", "coloredline") %>% map(create_hc) return(hcs) } x <- highcharter_all_plot() #Then plot can be accessed in by calling x[[1]], x[[2]], x[[3]]..
据我对并排图的理解,我只知道其中两种方便的方法,它们是:
1)使用par(mfrow)
[par(mfrow=c(3,4))
->(仅可应用于基本图)]
2)从gridExtra使用grid.arrange
library(gridExtra) grid.arrange(x[[1]], x[[2]], x[[3]], x[[4]], nrow=2, ncol=2)
->(由于x不是ggplot类型而无法使用)
所以我想知道是否可以应用此方法?我是使用Highcharter的新手
我想尽可能地在RStudio Viewer中并排查看Highcharter图的精确输出,该参考文件中对此进行了精确显示:http://jkunst.com/highcharter/highcharts.html,所以让我定义一下...
[如果检查提供的Highcharter网站,您会发现这些图表不是使用R并排放置的,而是它们在单独的HTML容器中的呈现器,并通过引导程序(CSS)定位。因此,如果要在HTML环境中呈现图表,建议将每个图表呈现到单独的div中。