A graphical display to summarize the distribution of a sample. It displays five numbers plus (possibly) some outliers - those five points being the median, hinges (approximate quartiles), and the largest and smallest value not counting any points marked as outliers.

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16 views

How to treat the group variable as continuous in boxplot() in R? [on hold]

If I understand correctly, boxplot() treats numerical group variable values as discrete values and spaces the boxes evenly on the plot. What can I do to produce a ...
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0answers
13 views

Plotting errorbars adjusted for multiple comparisons

I have run a 1 way basic ANOVA on 4 categorical variables. Afterwards, I ran multiple comparisons on all 4 groups (6 comparisons) & adjusted using the Tukey-Kramer method. This was all done in ...
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16 views

Interpreting boxplots [duplicate]

I am trying to interpret the three boxplots below in light of another plot before finalizing my glmer models (GLMM) in R. The boxplots below show the relationship ...
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0answers
36 views

Time period length for comparing two Boxplots?

I want to see the variability in a dataset or timeseries in two different period by the means of Box and Whisker Plot My time series covers a period of 1901-2010. I want to see the variability ...
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3answers
356 views

What information does a Box Plot provide that a Histogram does not?

Histograms give a good sense of the distribution of a variable. Box plots attempt to do the same thing however, don't give as good of a picture of the distribution of this variable. I don't ...
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2answers
51 views

QQplot vs BoxPlot

I am having trouble reading my qqplots. I want to asses normality graphically before I carry out a test like shaparo test(my sample is small (<50)) . So I have two question is the qqplot better ...
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49 views

Outlier detection in multivariate data

I have a table with thirty variables and am interested in finding the outliers (rows). Assuming that my variables are independent I am hesitant whether I should use Cook's distance as it requires to ...
2
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1answer
59 views

Boxplot interpretation

I'm taking an introductory online statistics class. Unfortunately not everything is clear to me from this class. One of the chapters in the book contains an example of a Box-and-Whisker ...
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0answers
15 views

Are values equal to a lower boundary included as part of the whisker or as an outlier on a box and whisker plot?

If a value is equal to my lower boundary, do I include it as part of the whisker, or as an outlier, on a box and whisker plot?
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1answer
74 views

Minimum “recommended” sample size for boxplots? Boxplots for different sample sizes

What is the minimum "recommended" sample size to generate boxplots? If I'm comparing different methods and each method has a different sample size, is it fine to use boxplots for this comparison? If ...
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1answer
65 views

How does boxplot in R calculate quantiles?

Why 1st and 3rd quartiles don't match with boxplot in R? ...
-1
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2answers
101 views

How to read a boxplot in R? [duplicate]

I read the boxplot docs, but didn't find the answer. When using the default settings (boxplot(x.ts)), what do the whiskers, boxes, midlines and outliers represent? ...
5
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1answer
68 views

Why is the 95% CI for the median supposed to be $±1.57*IQR/\sqrt{N}$?

In various sources (see e.g. here), the following formula is given for confidence interval for median (especially for the purpose of drawing notches on box-and-whisker plots): $$ 95\%\ CI_{\rm ...
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2answers
363 views

How to use boxplots to find the point where values are more likely to come from different conditions?

I have plotted some data using box plots. I am comparing Condition 1 (left) and Condition 2 (Right) values. My aim is to find a point at which we make a decision where the value changes from point ...
2
votes
1answer
64 views

How to check whether the relation between ordinal variable and scale variable is monotonic?

I am wondering what correlation measure to use for calculating the relation between ordinal and scale (interval) variable. For using Spearman's rho the relation must be monotonic. I created a ...
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0answers
39 views

Power transform before aggregating data: benefits and risks

I have several physiological recordings from different users, for example heart rate. I would like to aggregate these time-series into a single "metric". Let's say that I want to apply the mean ...
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votes
1answer
176 views

How to display multiple variables in a boxplot with R [closed]

I am not very strong with R, and I am having some issues displaying a boxplot. I am not looking to use additional packages (such as ggplot) - I am trying to do this through just the R core. I have a ...
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0answers
35 views

Boxplot of standardized data matrix

I have boxplotted a standardized data matrix. It seems all fine and the boxplot looks good, but how can I interpret it? The values are very different from the non-standardized data matrix, so I can ...
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0answers
53 views

How to interpret box plots of 5 different distributions

I have created a box plot of the amount of tests a group of people took per day. (M-F). A box covers the range from mean-sd to mean+sd, and will show 15th-85th percentiles. The diamonds show the max ...
13
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1answer
811 views

What kind of chart is this?

Sorry for the vague question but this chart appears in Biddle et al. 2009 and I've not encountered anything like it before. It's a bar chart with beveled edges, sometimes 'horns'. What do these mean? ...
8
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1answer
471 views

T-test using only summary data in a box plot

I have the 5 number summary (min, Q1, Median, Q3, max) from two boxplots and wanted to test whether or not the averages of the groups in the two boxplots were significantly different. I would like ...
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1answer
96 views

Testing the difference between two samples with very different sizes using an un-paired t-test

I want to test wether population A is significantly different from population B (at 5% confidence interval). I need to do it for each variable using an un-paired t-test, since my data are normally ...
0
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1answer
53 views

How to add overall data to group by category chart in R? [closed]

i have a (ggplot) chart whit multiple data grouped by factor column. I also would like to add an "overall" group to it. Is there an easy way to do this? For example i want to extend this plot with a ...
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0answers
34 views

suitable statistics to replace box plot [closed]

I am applying few classification methods on a set of images. Currently, I have experimental results in box-plots and want some statistical method to report them in my dissertation. Problem ...
4
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3answers
196 views

How to compare the distributions of two variables

The attached figure plots the distributions of two variables. I want to demonstrate statistically how closely the the two distributions match each other. What is the best way of doing this?
3
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1answer
85 views

Exploratory data analysis using box plots

How should you make a box plot when the data have an outlier? Must we use the data with the outlier, or use the data without the outlier? If we use the data without the outlier, we will change the ...
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0answers
85 views

Outliers in Boxplots when calculating means

I have a dataset for which I am making boxplots. I do not want to include the outliers in the box plot so I give an argument outline=FALSE in the command. In the next step I want to put the mean ...
2
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4answers
1k views

Confused by location of fences in box-whisker plots

In one type of box-whisker plot, the fences at the ends of the whiskers are meant to indicate cutoff values beyond which any point would be considered an outlier. The standard definitions I've found ...
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0answers
63 views

Is there a name for this sort of plot? Is there any reason not to use it?

Suppose we have some time series data, with multiple samples per time unit. For example: ...
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0answers
114 views

how should i interpret boxplot and manova results simultaneously?

I have a data in which i am interested in how the response of photosynthesis and conductance varies differentially among different temperatures/ranks/crosses/genotypes. I have set up a manova to do ...
8
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2answers
2k views

Box-and-Whisker Plot for Multimodal Distribution

Can I use box-and-whisker plots also for multimodal distribution or only for unimodal distribution?
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1answer
767 views

Boxplots vs. Confidence Intervals

I designed a heuristic that solves a problem concerning network graphs. It was tested on thousands of different instances that have various different characteristics: Topology, template, number and ...
2
votes
2answers
163 views

What does a Barplot, a Boxplot and eCDF represent?

I want to understand what a barplot, boxplot, and eCDF represent when they are used for plotting data. A barplot is kind of intuitive, easy to understand what it represents. But I fail to understand ...
3
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2answers
251 views

Can I say that my samples are different just by looking at box plots without performing a test?

Is it possible to say that my samples are significantly different (or not) from each other just by looking a box plots? If yes, what do I have to look at and what is the theory behind it? I read ...
0
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1answer
592 views

JFreeChart Boxplot appearance

I'm need to create boxplots to analyse and evaluate test results. Since I program in Java this answer convinced me to use JFreeChart. The BoxAndWhisker chart seemed similar to what I wanted. I spent ...
4
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2answers
3k views

Why does Tableau's Box/Whisker plot show outliers automatically and how can I get rid of it?

I have a data set shown as box-whisker graphs after disaggregating. See below. I am wondering why Tableau (the product I am using) automatically plots a whole bunch of values outside the ...
2
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0answers
84 views

Is there any use of having dual error bars in bar charts to show both descriptive and inferential statistics?

I would like to display information both about the distribution of the population and the certainty in the measurements in the same plot. Would there be any use of having dual error bars in a barchart ...
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1answer
879 views

Box plot with just two values does not have its whiskers in R

Are boxplots by default unable to produce the whiskers when there are just 2 values being input? I am working with dataset rufi and the values input are ...
2
votes
3answers
576 views

What is “the shortest half of the data”?

Here is a histogram (realized with JMP) displaying two types of box plot called outlier box plot and quantile box plot. Right below, there are a bunch of explanations of the meaning of the ...
15
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3answers
4k views

How to present box plot with an extreme outlier?

I could use some guidance about presenting some data. This first plot is a case-control comparison for the cytokine IL-10. I've manually set the y axis to include 99% of the data. The reason I ...
3
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0answers
229 views

Boxplots with lognormally distributed data

Context Environmental data (e.g., pollutant concentrations in water, soil, air) are often lognormally distributed. Even when they are not, we tend to assume that they are (for better or worse). ...
3
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2answers
166 views

Best way to compare distributions with spikes

Following this question, I am interested on the best way to display four distributions with spikes. Indeed, I have four distributions with circa 75% of elements in it at the maximum value (1). I am ...
5
votes
1answer
320 views

How to transform an accuracy distribution for a violin plot

I am trying to find the best way to visualize different distributions of accuracy. Accuracy here is a value in the interval [0,1], 0 meaning not accurate, 1 maximum accuracy. I have different methods ...
2
votes
1answer
225 views

Alternatives to box plots for comparing clustering results

In my research paper, I wish to compare the accuracy of 2 clustering algorithms. I have conducted clustering using these 2 algortihms on 300 proprietary datasets. I use adjusted rand index as the ...
17
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3answers
35k views

How to assess skewness from a boxplot?

How to decide skewness by looking at a boxplot built from this data: 340, 300, 520, 340, 320, 290, 260, 330 One book says, "If the lower quartile is farther from the median than the upper quartile, ...
5
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3answers
1k views

Is visual inspection the only way to compare large datasets?

I have two large data sets, in fact, one of them is even much larger than the other. Visually, there doesn't seem to be that much difference between them: The actual data underlying the box plot ...
2
votes
1answer
1k views

Reproduce boxplot with only data points at given quantiles

It is trivial to create a boxplot in R with a full dataset. However, with limited access to the whole dataset, I just have 5 data point at min, 25%, 50% ,75%, and max. So is there any easy way to ...
10
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3answers
8k views

Deduce variance from boxplot

I was wondering how to deduce the variance of a variable using a boxplot. Is it at least possible to deduce if two variables have the same variance observing their boxplot?
5
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0answers
118 views

Visualizing many left-skewed distributions

I have a series of left-skewed/heavy tailed distributions that I would like to show. There are 42 distributions across three factors (labeled as A, ...
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1answer
331 views

statsmodels: error in kde on a list of repeated values

I am using Python's statsmodels module to plot a violin/bean plot of some data. I get the error "LinAlgError: singular matrix" in the KDE calculation whenever a single violin plot is drawn from a list ...