Questions tagged [ggplot2]
ggplot2 is an enhanced plotting library for R based upon the principles of "The Grammar of Graphics". Use this tag for *on topic* questions that (a) involve `ggplot2` as a critical part of the question &/or expected answer, & (b) are not just about how to use `ggplot2`.
271
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17
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How do modulate the y-axis in R and GG-plot [closed]
All I have some code in R to make a graph.
...
0
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0
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10
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Scatterplot in R doesn't fit in the screen - legend is not fully visible [closed]
How can I fix the problem in my scatterplots? Legend on top doesn't fit the screen properly. Some groups are not visible and the problem continues even if I zoom in or out. Should I add margins or ...
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1
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42
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Visualize Cronbach's alpha in R Ggplot scatterplot as a regression line? [closed]
I'm looking for a way to make a scatterplot of the correlation between two questionnaires using Cronbach's alpha:
Data:
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2
votes
1
answer
44
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Summary output of binomial GLMM shows significant effects, but graph shows overlapping CI error bars?
I have run this binomial GLMM:
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1
answer
18
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Is GGeffects what I want to use to plot my linear mixed effect model results
So I am interested in how participants' own preference ratings for a series of items predicts their ratings for a peer's preferences for the same items. My model looks something like below where they ...
1
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0
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24
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Plotting custom logistic distribution
I'm trying to understand the logistic distribution and its application in a sports scoring model.
The CDF of the logistic distribution is:
$F(x) = {1 \over 1 + e^{-(x-\mu) / s}}$
I can then use ...
3
votes
1
answer
61
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mgcv gam P-value vs plotted confidence intervals
I am trying to figure out how to explain the apparent discrepancy between P-values and plotted confidence intervals in mgcv.
See for example the plot below that comes from a model that considers the ...
- 333
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2
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26
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What to plot when main effect significant but interaction insignificant?
This may be a silly question but:
Given a regression model that includes both main effects and an interaction term
(Score of participants predicted by their attitude and motivation):
...
- 153
3
votes
2
answers
64
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What is the most responsible way to visualise non-response / NA data in a plot?
I'm working on plotting census data, which has a fairly high non-response rate for some questions (5% or higher). This could actually shift the way we interpret the results in quite significant ways (...
- 131
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1
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401
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Visualising log odds from logistic regression model in R
I'm working on a logistic regression analysis using R and aiming to visualize the effects of the predictor "age" on the binary dependent variable "domestic violence." My dataset ...
cd21
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42
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Should I run a linear or binomial regression based on my data distribution?
In the attached image, the x-axis is the proportion of children at a school who passed at least 5 GCSE exams that year, and the y-axis is a count of the schools. The different colours are whether the ...
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1
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1
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121
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How to fix this plot of histogram and pdf in R?
I am studying statistics and am working with R for the first time. I have some data that I am trying to represent it graphically. I have plotted a histogram and am trying to model it with gamma ...
- 121
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1
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51
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Is it appropriate to visualize multiple glm models (of different families) in the same plot?
I am assessing the effect of 5 predictor variables on species abundance. I have created 12 generalized linear models in R that have the same response and five predictors. Rather than run a complex ...
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1
answer
55
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Plot with multiple categorical predictors and before/after comparison
I have a dataset with 5 categorical variables that relate to before/after numerical data. I need to plot the relationship between the categorical data and the numerical results. Each category relates ...
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135
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What do the bars in ggdist::stat_halfeye() mean?
I am trying to understand what the black point, thicker horizontal bar, and thinner horizontal bar mean when I use the stat_halfeye() function. I can't find it on the package website. I'm pasting an ...
- 313
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157
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log axis display without transformation of data in ggplot?
p=ggplot(df, aes(x=logcon, y=res)) +
geom_jitter(aes(y= (res),color=TRTGRP), width = 0, shape=1,size=1,height = 0.01) +
geom_smooth(method="glm", se=T, method.args = list(family=binomial))+ ...
- 11
1
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0
answers
110
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Interpretation of confidence interval using geom_smooth in ggplot2
I plotted data from two groups using geom_smooth in ggplot2. The default method loess was ...
- 211
2
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1
answer
208
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GAM - parametric coefficients - what is mgcViz::pterm() actually plotting?
I built a GAM with two categorical variables and two smooth terms, following this structure:
...
- 637
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31
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Extrapolate 95% CI for unit decrease and for percentage decrease from lmer outputs
I am testing the association between percentage of impervious surface areas (ISA) and number of eggs per breeding event. This is my model structure:
...
3
votes
1
answer
247
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Visualising scatterplot with too many points and two or more groups
I am trying to plot data with a large number of points. The goal is to see the basic distribution - location, dispersion, shape - of the observations.
With a simple scatterplot, even with low ...
- 161
1
vote
1
answer
36
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Holding covariates constant to plot MLR model on 2d scatterplot in R
I am currently working with a MLR model comprising 1 numeric/continuous predictor variable (x1), several nominal categorical variables (x2 ... xi), and an interaction term between the continuous ...
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2
answers
88
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R conditional mutate within function [closed]
My function plots data and how the data is ordered depends on an argument of the function. The code looks unnecessarily repetitive but I can't figure out how to make the mutate() function (or any ...
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1
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1
answer
165
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How to interpret the partial effect plots for parametric terms while using gratia::draw() and gratia::parametric_effects()?
I am asking a question akin to this one: https://stackoverflow.com/questions/71884457/what-does-the-y-axis-effect-mean-after-using-gratiadraw-for-a-gam but am wondering the same question for ...
- 115
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1
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22
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Gaussian Curve equation in R not peaking at zero [closed]
I have been analysing and plotting some different Gaussian curves in R to help me visualise them for a project I am working on. One such expression is the following:
In R I have plotted this with by ...
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32
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Two way fixed effects proj r squared question
I'm currently testing out models for a research paper I'm doing as an undergraduate in political science.
One of my questions of interest was whether rural turnout was higher than urban turnout at ...
Ben Graham
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33
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Interpreting cubic splines graph where plot doesn't go to final knot
I have this plot where I found that the best degree of freedom is 8, as it minimizes the SSE when predicted from the training data. However, the graph does not go into the final 8th knot in the spline....
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0
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120
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Plotting all the points of PCA to only one PCA axis, first PC1 and then on the PC2
I am required to project all the points on PCA to PC1 axis and then on PC2 axis as to see whether there is a good separation between the points. Through this I have to determine which dimension can ...
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1
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1
answer
38
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How to code survival data so that sarting survival is below 1
I am analysing the time to the end of rehabilitation; however, not all patients receive rehabilitation. Therefore, for making Kaplan-Meier curves for the whole study population (including non-...
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1
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1
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441
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Calculating Confidence intervals of marginal means for a linear mixed model using emmeans package
I have built this model in R:
...
- 93
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0
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41
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How can I draw a interaction plot using trimmed means?
I am conducting two-way ANOVA in r using the t2way function in WRS2 packages for my thesis.
t2way function, as you know, uses trimmed mean to escape from the severe problem of heterogeneity of ...
- 1
1
vote
0
answers
34
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Grouped Boxplots in R [closed]
I want to draw the same exact graph in R. However, I want to consider two options:
(1) with one x axis for each of the genders &
(2) two different xaxes for each of the gender. Here is also the ...
- 31
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1
answer
60
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Troubleshooting linear mixed effects model plot and trendline slopes
I'm working with multiple years of temperature data from different sites in a watershed. I'm using the 7DADM measurements i.e. one temperature reading for each site per year of monitoring.
This is ...
3
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4
answers
388
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Are there any simpler alternatives to boxplots and barplots that can faithfully represent data with outliers and strongly varying ns?
I have a dataset of passwords that looks like this:
My goal is to make a graph that accurately showcases the strength of each category so my initial plan was to group the data by category and ...
- 241
4
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3
answers
175
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Visualizing Categorical Response Data
I have a dataset that contains the "weight", the "gender" and if someone has "asthma" or not.
I am interested in learning about ways to visualize the proportion of people ...
1
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1
answer
75
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Why does the confidence boundary contain fewer points than expected in R (`ggplot`)?
I use a LOESS regression and draw a confidence boundary with a 99% level.
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- 150
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245
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Drawing Q-Q plot with ggplot2 and interpreting it
I'm learning how to draw Q-Q plots using R from Modern Statistics with R
. The codes below compare the msleep$sleep_total data with a normal, lognormal, and a ...
- 409
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0
answers
63
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What about the tails of a ggplot line graph?
Here is my data with value (numeric), group (A/B), Time (T1,T3), and Condition (neutral/reward) variables.
...
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0
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240
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In a figure of emmeans, indicate effect size of contrasts as "significance stars"
I have an emmeans object of a logistic regression model (glmer). I made plots with ggplot2, ...
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50
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Precipitation to Mean Temperature Relationship
Based on the data below, I am trying to see if there is any relationship between Precipitation and Mean Temperature. Now the <...
- 111
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1
answer
130
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Statistical analysis of a bioassay
I am analyzing data on some biossays and I need an advice on which statistical analysis to use and how to use ggplot2 R package to better visualize the results.
As you can see in the above image I ...
Gabriele_Martino
23
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5
answers
5k
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How should we do boxplots with small samples?
This question is inspired by this posting, plus a comment by @StephanKolassa and an answer by @dipetkov who point out that the boxplots presented in that question are misleading. As is pointed out, ...
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1
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526
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1
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0
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103
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Finding statistical significance difference using Z score test using r
I wonder how to perform the z proportion test to check which COG category of Shewanella_sp_Alg231_23 is significantly high p (<0.05) from other genomes. To undersatnd I have attached a bar braph.
<...
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3
votes
1
answer
1k
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Why do arrows of PCA graph have different angles between biplot and ggplot functions?
I'm using R iris data to show my point:
pca = prcomp(iris[,-5],scale=F)
png('irisNS_biplot.png',600,600)
biplot(pca)
dev.off()
...
- 339
1
vote
0
answers
52
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how to interpret this interaction (regression) [closed]
So, I have model:
y = x + gender(categorical variable) + interaction(x and gender)
x and gender and interaction was all significant
and the plot y and x and gender.
(this is simulated data without ...
- 129
2
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2
answers
2k
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What is the best way to visualise a panel regression?
Simple scatter plots or a correlation matrix can be misleading since they aggregate all years together. What would be te best way to visualise relationships between variables taking time into account? ...
3
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1
answer
2k
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2
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1
answer
130
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Why do my model visualization and model estimates not match (R, ggplot)?
I am studying the relationship between government fiscal balances (BAL) and bond yields (LTINT). I have a simple regression discontinuity model with a numerical variable (BAL), a dummy (SGP: breach/...
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0
answers
327
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Plot multiple lines in transparent gray such that overlapping parts are darker [closed]
Unfortunately I cannot remember where I saw it, so I cannot provide a picture of how the plot should look like. I can just describe it:
Do you know a way in MATLAB or R to plot multiple time series in ...
- 832
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vote
1
answer
2k
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R: Plotting lmer confidence intervals per faceted group
I am using lme4 package to run a Mixed-Effects Model followed by the predict function ot obtain fitting lines per invidual level and group level. Yet, I am ...
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