ggExtra | Add marginal histograms to ggplot2 , and more ggplot2 | Data Visualization library
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kandi X-RAY | ggExtra Summary
📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements
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QUESTION
I'm trying to write up a report and simply want to include a .jpeg image in my write up. However, whenever i knit together my document, I get the following error:
...ANSWER
Answered 2022-Mar-28 at 17:25I had the same issue and it seems you will need to pass the absolute path. See this .
Instead of using here
maybe try using normalizePath
in include_graphics
.
So omit your call here()
, which may not be propagating across chunks (I don't know, because I can't see your chunks), and do:
QUESTION
when i use
...ANSWER
Answered 2022-Mar-15 at 10:10You could try remove and reinstall the packages with dependencies = TRUE
by using this code:
QUESTION
Is it possible to have two different types of marginal distribution in ggMarginal()? E.g., density for x and histogram for y?
...ANSWER
Answered 2022-Mar-09 at 10:25I think you need to create both plots and swap their upper margin grobs:
QUESTION
I'm pasting a simplified version of the code below where:
- Before adding the ggMarginal element Patchwork displays ggplots side by side as expected
- After adding marginal distributions with ggMarginal, Patchwork doesn't seem to recognize the the plot any more. The error message that I get is the following:
ANSWER
Answered 2021-Oct-09 at 18:01Not sure whether there is an easy option to make patchwork
work with objects of class ggMarginal
.
Another option to add side plots would be to make use of the ggside
package which works fine with patchwork
. One drawback of ggside
is that (to the best of my knowledge) as of the moment it does not offer any options to style the side plots, i.e. it will inherit the style of the main plot's theme
:
QUESTION
I've generated a scatterplot with marginal histograms on the x and y axes, using this extremely helpful answer from @ClausWilke (reproduced below).
...ANSWER
Answered 2022-Jan-20 at 13:48You could:
- Change
element_blank
toaxis.text.x = element_text(colour = "white")
so axis text is the same colour as the plot background so not visible, forcing the axis label to be on the vertical position as the main plot. - Include a dummy plot with
NULL
in the call toplot_grid
And, in response to additional question in comments... - use
grid::nullGrob
to make the right hand side plot panel the same height as the main plot panel.
QUESTION
# load libraries
library(ggplot2)
library(viridis)
library(lubridate)
library(ggExtra)
library(tidyverse)
# read
checkin_malaysia_time <- read_csv(file = 'https://raw.githubusercontent.com/MoH-Malaysia/covid19-public/main/mysejahtera/checkin_malaysia_time.csv')
# pivot longer for ggplot
checkin_malaysia_time <- checkin_malaysia_time %>%
pivot_longer(!date, names_to = "hour", values_to = "count")
checkin_malaysia_time
# date feats
checkin_malaysia_time <- checkin_malaysia_time %>%
dplyr::mutate(day = lubridate::day(date),
month = lubridate::month(date),
year = lubridate::year(date),
ith_hour = as.integer(hour),
yearmon = as.factor(zoo::as.yearmon(date))) %>%
dplyr::select(yearmon, day, ith_hour, month, year, count)
# map hour
checkin_malaysia_time$hour <- rep(rep(0:23,each = 2),237)
# hourly data
checkin_malaysia_time_hour <- checkin_malaysia_time %>%
group_by(yearmon, day, month, year, hour) %>%
summarise(count = sum(count)) %>% ungroup()
# plot
p <-ggplot(checkin_malaysia_time_hour,
aes(day,hour,fill=count))+
geom_tile(color= "white",size=0.1) + coord_equal() +
scale_fill_viridis(name="Hourly checkins",option ="H")
p <-p + facet_wrap(year~month, nrow = 1)
p <-p + scale_y_continuous(trans = "reverse", breaks = seq(0,23,2))
p <-p + scale_x_continuous(breaks =sort(c(1,seq(5,25,5),31)))
p <-p + theme_minimal(base_size = 8)
p <-p + labs(title= paste("Checkin Time Density",' - MySejahtera'), x="Day", y="Hour")
p <-p + theme(legend.position = "right") +
theme(plot.title=element_text(size = 14))+
theme(axis.text.y=element_text(size=6)) +
theme(strip.background = element_rect(colour="white"))+
theme(plot.title=element_text(hjust=0))+
theme(axis.ticks=element_blank())+
theme(axis.text=element_text(size=7))+
theme(legend.title=element_text(size=8))+
theme(legend.text=element_text(size=6))+
removeGrid()
p
...ANSWER
Answered 2021-Jul-26 at 05:33You could draw in the lines "manually" with grid, e.g.
QUESTION
I feel like I've tried about everything...If I transform the months into factors, I get 16 thousand NA's. As my code is I get the plot to come out, but with the months out of order.
I got the original code here: https://www.r-graph-gallery.com/283-the-hourly-heatmap.html
I've edited it to fit my data, but my months come out out of order.
My months are numbers in the csv file (int in r), then changing them to abbreviations makes them characters.
...ANSWER
Answered 2021-Jun-17 at 20:47You should have constructed MonthAbb as a factor. That way you could have specified the ordering of the levels attribute which most plotting functions will honor when it comes time for plotting.
QUESTION
I am trying to present a graph plotting the results of three regression equations using ggplot
and gridArrange
. However, I have noticed a problem when trying to plot the residuals of these regressions. I am trying to plot these graphs on a fixed coordinate system with an aspect ratio of 1, given they are both residuals of a dataset are proportional residuals relative to the original measurement. However, when I print the combined graph in ggExtra I end up with one graph being much shorter than the other and the titles of the graphs are not aligned.
I know this is due to the fact that both graphs are set to different width because of the coord_fixed call. However, I do not know how to adjust this in the final graph so both graphs are the same size. What I want to do is increase the white space of the smaller graph to make the two the same dimensions but keep the fixed 1:1: aspect ratio the same. I have found that including the respect=TRUE does not work to fix this.
Below is code that reproduces my example.
...ANSWER
Answered 2021-Mar-23 at 04:42EDIT after clarification:
We can use ylim(-150, 200)
in plot1
QUESTION
I'm trying to reproduce this figure, I'm facing hard times in reproducing two things, the right scale ratio (all plots are square with clear top title and top left corner letter label), the second is I see a gap between the marginal graphs and the plots themselves. What I want to achieve is this:
My dataset:
...ANSWER
Answered 2020-Oct-11 at 10:07In order to make the plot square use:
QUESTION
I'm trying to replicate the theme of these graph using ggplot, I searched online for articles and question to show me how to assign these plots the right size and position and also to assign the tight dot shape, and I found few articles that discussed changing position, I tried the following:
...ANSWER
Answered 2020-Oct-09 at 07:23Maybe this fits your need. To glue the three plots together I make use of the cowplot
package. The legend is probably still not perfect.
To get only one legend but still a nice alignment of the plots I made the legends for the first and the third plot "transparent" vis
guide_legend
andtheme
optionsTo make all plots the same size I added transparent marginals to the scatter plot
To fix the position and make the plots square I set the same limits for both axes via
xlim
andylim
and set the aspect ratio to 1 usingtheme()
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