ggthemes | Additional themes , scales , and geoms for ggplot2 | Data Visualization library
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kandi X-RAY | ggthemes Summary
Some extra geoms, scales, and themes for ggplot.
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QUESTION
I am trying to create an interactive scatterplot using ggplotly. This will include a scatterplot with the interactivity to highlight each point's country name, and a line of best fit. However, when I add the text argument to my ggplot (in order to create interactive labels) it removes the line of best fit. I have tried to isolate the text argument to just the geom_point function, as suggested in a previous stack overflow post, but this does not solve the issue.
Would someone be able to offer a solution?
Thanks in advance.
My data includes a column for country name, a column for its gdp and a column for its world happiness index score ranging from 1 - 8.
Just as a randomly generated example:
NAME gdp happiness_score Argentina 10000 6 Canada 600000 8My code is as follows:
...ANSWER
Answered 2022-Apr-07 at 16:38You should assign your NAME to the label command in the aes and add a geom_text to show the names to the plots. You can use the following code:
QUESTION
I'm a bit stumped, I'm attempting to write a code that runs Monte Carlo simulations of increasing sample sizes until certain conditions are met. First off, the bit of code that I know does work:
...ANSWER
Answered 2022-Apr-01 at 16:10Your return statement is in the while loop. It will return the data.frame at the end of the first iteration (essentially a break before it even checks the condition)
Try:
QUESTION
I have got survival data, based on quartiles of delta_mon1_baselone_to_3d. Outcomes is mace.
Cox regression for each quartile are obtained with this code:
...ANSWER
Answered 2022-Apr-01 at 14:38This is what I think you're looking for. First, it isn't built into that plotting function to do this, but you can create these labels dynamically.
It ended up being a bit easier if I changed the name of stratum to Quartile. If that's what you're labeling it, this shouldn't be too big of an issue.
QUESTION
I'm building an Rshiny app that takes user input and generates an Rmd powerpoint slide with graphs. I'm basing this off of the example I found at https://mattherman.info/blog/ppt-patchwork/ . When I try running the example off of Matt Herman's blog it generates the ppt as expected. Yesterday, when I ran my code, I kept getting the error message "Error in +: non-numeric argument to binary operator". I slowly subbed out my graphs/charts/code into the example code, and was able to generate a ppt slide without the error. I thought I was in the clear.
This morning, I tried to run the program again after opening and closing R, and now I'm getting the same error as yesterday, although the Matt Herman example code still runs perfectly. I'm thinking it has to do with the patchwork package loading incorrectly, but I'm such a newbie at R that I'm not 100% sure. If anyone could help, it'd be much appreciated! The inconsistency of this is driving me bananas.
(PS I know the code is a little sloppy right now - I have libraries added on there from past attempts that I probably don't need anymore, I'm just in the middle of writing this and trying to figure out this patchwork issues, so apologies for the clutter.)
Code for the Shiny App:
...ANSWER
Answered 2022-Feb-25 at 17:34The solution (using wrap_elements) has already been provided in the comments, which deserves to be the accepted answer. But I'd like to add a little on why this can produce slightly confusing results, which is not immediately obvious.
Interestingly, the need to wrap_elements seems to depend on the order in which the element are added to the patchwork layout.
This from the linked example code works (last step)
QUESTION
For consistent data presentation I'm looking to create a new theme which can be used by anyone in my team using R to easily present plots in the same format. I'm using the stata theme as the base, and have so far been able to get the basic plot elements the way I want with the following;
...ANSWER
Answered 2022-Feb-08 at 13:50You can’t add color palettes to themes, but you can change global defaults by setting a scale function or vector of colors via setOption(). e.g.:
QUESTION
I'm new to programming in R and I want to make an interactive map from two files, one is a .shp that you can download from here: https://www.ine.es/ss/Satellite?L=es_ES&c=Page&cid=1259952026632&p=1259952026632&pagename=ProductosYServicios%2FPYSLayout (just select 2021 year and go and its download), in which there are many polygons. And then I have a csv with store characterization data (it contains 2 LON and LAT fields).
To start doing all this I would like to filter the .shp file for each different value in the NCA field (Ex: 1 map for Basque Country, another for Madrid, another for Barcelona ...).
All this without losing the geometric properties since if I lose them then I can't represent them graphically (or maybe I can and I don't know, if so, let me know and I will be very grateful).
He probado con el siguiente codigo:
...ANSWER
Answered 2022-Jan-13 at 13:35Ok! I guess I will do the all workflow!
QUESTION
I am plotting the donchian high and low using tidy packages. the low value does not look correct. I am probably not calling the donchian function properly as the donchian_100_low is the highest value of the row. I dont know how to fix it.
...ANSWER
Answered 2021-Dec-31 at 09:44The problem is the input into DonchianChannel. The input needs to be a matrix of 2 columns, not 2 separate columns. If you check the help it says:
Object that is coercible to xts or matrix and contains High-Low prices.
But it is a bit unclear. The example with it shows it a bit better, either a data.frame, matrix or xts object is fine.
Note that if you want a donchian channel with n = 100, you need to specify the n, default is: n = 10.
To get it to work in your case, with tidyquant:
QUESTION
Problem
I'm trying to split a data column listing market cap for cryptocurrency projects into categorical data (in one column) using logical operators.
Solutions that I tried I'm using tidyverse, pipe operator and mutate to implement if-else statements with logical operators and trying to save as a categorical variable. Can't find the right answer on the web, but I'm most likely to noob a coder to understand the threads and workarounds I've been looking at.
...ANSWER
Answered 2021-Nov-12 at 12:43Use case_when like below.
The pipe itself is just an example, the case_when does what the nested if/else in the question is trying to do.
QUESTION
In the R statistical package, is there a way to plot a graph of a second order polynomial regression with one continuous variable and one categorical variable?
To generate a linear regression graph with one categorical variable:
...ANSWER
Answered 2021-Nov-07 at 00:39Just add a colour or group mapping. This will make ggplot fit and display separate polynomial regressions for each category. (1) It's not possible to display an additive mixed-polynomial regression (i.e. lm(y ~ poly(x,2) + category)); (2) what's shown here is not quite equivalent to the results of the interaction model lm(y ~ poly(x,2)*col), because the residual variances (and hence the widths of the confidence ribbons) are estimated separately for each group.
QUESTION
I have month column - Jan through Dec as well as 'Annual' value. I want to color heatmap based on Jan through Dec only (ignoring Annual). Values against Annual should be colored separately. In short gradient should be based on Jan through Dec.
Code below is working fine but it colors based on all unique values of month column.
Code
...ANSWER
Answered 2021-Oct-31 at 13:30I've taken the liberty to simplify your data frame and also plotting code, trying to boil it down to the essential. I've renamed your returns column because it's much easier to code without back ticks, and instead I named the legend using the scale function.
What you're trying to achieve requires two separate fill scales for different parts of your data. Meaning, you need to plot the data separately, e.g. with two calls to geom_tile. You can create a second fill scale for example with ggnewscale.
In general, from both visualisation and coding perspective, I feel you might fare better by creating two plots separately, and stitch them together with for example patchwork. This will avoid the hassle of plotting different parts of your data, avoids the use of data frames that contain both values and aggregation and also will create a visual separation between measurements and aggregated values.
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