Details
| Original language | English |
|---|---|
| Pages (from-to) | 1631-1638 |
| Number of pages | 8 |
| Journal | Archives of toxicology |
| Volume | 90 |
| Issue number | 7 |
| Publication status | Published - 5 Oct 2015 |
Abstract
The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals reacting differently to a treatment. In particular, raw values are of prime importance in toxicology; therefore, we argue they should not be hidden in messy supplementary tables but rather unveiled in neat graphics in the results section. We propose jittered boxplots as a very compact yet comprehensive and intuitively accessible way of visualizing grouped and clustered data from toxicological studies together with individual raw values and indications of statistical significance. A web application to create these plots is available online.
Keywords
- Body weight, Graphics, Micronucleus assay, R software, Statistics
ASJC Scopus subject areas
- Pharmacology, Toxicology and Pharmaceutics(all)
- Toxicology
- Environmental Science(all)
- Health, Toxicology and Mutagenesis
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In: Archives of toxicology, Vol. 90, No. 7, 05.10.2015, p. 1631-1638.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Boxplots for grouped and clustered data in toxicology
AU - Pallmann, Philip
AU - Hothorn, Ludwig A.
PY - 2015/10/5
Y1 - 2015/10/5
N2 - The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals reacting differently to a treatment. In particular, raw values are of prime importance in toxicology; therefore, we argue they should not be hidden in messy supplementary tables but rather unveiled in neat graphics in the results section. We propose jittered boxplots as a very compact yet comprehensive and intuitively accessible way of visualizing grouped and clustered data from toxicological studies together with individual raw values and indications of statistical significance. A web application to create these plots is available online.
AB - The vast majority of toxicological papers summarize experimental data as bar charts of means with error bars. While these graphics are easy to generate, they often obscure essential features of the data, such as outliers or subgroups of individuals reacting differently to a treatment. In particular, raw values are of prime importance in toxicology; therefore, we argue they should not be hidden in messy supplementary tables but rather unveiled in neat graphics in the results section. We propose jittered boxplots as a very compact yet comprehensive and intuitively accessible way of visualizing grouped and clustered data from toxicological studies together with individual raw values and indications of statistical significance. A web application to create these plots is available online.
KW - Body weight
KW - Graphics
KW - Micronucleus assay
KW - R software
KW - Statistics
UR - http://www.scopus.com/inward/record.url?scp=84944520573&partnerID=8YFLogxK
U2 - 10.1007/s00204-015-1608-4
DO - 10.1007/s00204-015-1608-4
M3 - Article
C2 - 26438403
AN - SCOPUS:84944520573
VL - 90
SP - 1631
EP - 1638
JO - Archives of toxicology
JF - Archives of toxicology
SN - 0340-5761
IS - 7
ER -