#scale_fill_manual(name = "Species", values=PZ) +įacet_grid(~factor(zone,levels = c("A1","A2","A3")),scale = "free_x", space = "free_x", switch = "x")Ĭreated on by the reprex package (v2.0. Scale_y_continuous(sec.axis = sec_axis(~. Geom_line(aes(y = depth /4, group = 1)) + Geom_bar(aes(y = Percent), position = "stack", stat = "identity") + Mutate(Percent = 100 * number/sum(number), I do not know how to get a line to go from one facet to the next. This is the plot I can make with your most recent data. csv or other type, and have a dataframe (or tibble) named mydf: library (sf) library (ggplot2) mysf <- stassf (mydf, coords c ('LON', 'LAT')) mysf <- stsetcrs (mysf, crs 4326) Plot it: ggplot (mysf) + geomsf (aes (color cluster)) The sf package. I tried this code but I don't know how to have my %, so have the right side Y axis between 0 and 100 or 0 and 1 to see the proportion of each species for each station for each area and on the other side have the depth of each station with geom_line. Package ‘ggplot2’ ApVersion 3.4.2 Title Create Elegant Data Visualisations Using the Grammar of Graphics Description A system for 'declaratively' creating graphics, based on The Grammar of Graphics''. Assuming you've already loaded the data from a. Theme( = element_text(angle = 90, vjust = 0.5, hjust=1)) + Geom_line(aes(y = Depth / 20, group = 1)) + Geom_bar(aes(y = Percent), position = "fill", stat = "identity") + So I want to my in X my Station, Y (right side) my % and on the other Y axis (left side) my depth df %>% Yes sorry I didn't see there were not the axis names. * 20, name = "Depth"))Ĭreated on by the reprex package (v2.0.1) The ggtext package provides various functions to add formatted text to ggplot2 figures, both in the form of plot or axis labels and in the form of text labels or text boxes inside the plot panel. Scale_y_continuous(sec.axis = sec_axis(~. Spruce up your ggplot2 visualizations with formatted text. Geom_line(aes(y = depth / 20, group = 1)) + Ggplot(df,aes(species)) + geom_col(aes(y = number, fill = zone), ~zone, ~type, ~station, ~species, ~number, ~depth, #> Warning: package 'tibble' was built under R version 4.1.2 I adjust the Depth values so they will be conveniently displayed on the primary scale and then I do the inverse adjustment to display the desired scale on the secondary axis. Notice that the values on second axis have to be calculated from the values on the primary axis. The code below shows how to define a secondary y axis using that data set. I am not sure what you want to plot from that data set.
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