axis-labels

问题 I have the following cross correlation function (ccf) with an acf class which I am trying to plot: > data.ccf<-structure(list(acf = structure(c(0.00370070496127902, 0.00206467231169963, 0.0225750357110768, 0.00298746518949757, 0.0145032913293758, 0.00963688419028638, 0.0333911509122289, 0.0339875564324283, 0.0250934925494934, 0.000676008442887869, 0.00492135501146539, -0.00592692854683653, -0.0107895022365464, 0.00609386610167392, -0.00984595563932813, -0.0171226578533912, -0.0293648412902752

来源： https://stackoverflow.com/questions/59349185/non-linear-second-axis-in-matplotlib

来源： https://stackoverflow.com/questions/42932941/r-base-plot-suppress-axis-line-but-show-ticks

来源： https://stackoverflow.com/questions/42825983/issue-when-using-grid-arrange-with-ggtern-generated-plots

来源： https://stackoverflow.com/questions/42825983/issue-when-using-grid-arrange-with-ggtern-generated-plots

来源： https://stackoverflow.com/questions/42825983/issue-when-using-grid-arrange-with-ggtern-generated-plots

来源： https://stackoverflow.com/questions/54646652/animated-barplot-via-gganimate-conflict-of-view-follow-coord-flip

来源： https://stackoverflow.com/questions/54646652/animated-barplot-via-gganimate-conflict-of-view-follow-coord-flip

问题 I have xy grouped data that I'm plotting using R 's ggplot2 geom_violin adding regression trend lines: Here are the data: library(dplyr) library(plotly) library(ggplot2) set.seed(1) df <- data.frame(value = c(rnorm(500,8,1),rnorm(600,6,1.5),rnorm(400,4,0.5),rnorm(500,2,2),rnorm(400,4,1),rnorm(600,7,0.5),rnorm(500,3,1),rnorm(500,3,1),rnorm(500,3,1)), age = c(rep("d3",500),rep("d8",600),rep("d24",400),rep("d3",500),rep("d8",400),rep("d24",600),rep("d3",500),rep("d8",500),rep("d24",500)), group

问题 I have xy grouped data that I'm plotting using R 's ggplot2 geom_violin adding regression trend lines: Here are the data: library(dplyr) library(plotly) library(ggplot2) set.seed(1) df <- data.frame(value = c(rnorm(500,8,1),rnorm(600,6,1.5),rnorm(400,4,0.5),rnorm(500,2,2),rnorm(400,4,1),rnorm(600,7,0.5),rnorm(500,3,1),rnorm(500,3,1),rnorm(500,3,1)), age = c(rep("d3",500),rep("d8",600),rep("d24",400),rep("d3",500),rep("d8",400),rep("d24",600),rep("d3",500),rep("d8",500),rep("d24",500)), group