Agnieszka Wnuk

Agnieszka Wnuk
Warsaw University of Life Sciences - SGGW | SGGW · Department of Experimental Design and Bioinformatics

PhD

About

16
Publications
30,494
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134
Citations
Introduction
Agnieszka Wnuk currently works at the Department of Experimental Design and Bioinformatics , Warsaw University Of Life Sciences. Agnieszka does research in Aquaculture, Environmental Science and Agronomy. Their most recent publication is 'CI Thermometer: Visualizing Confidence Intervals in Correlation Analysis'.

Publications

Publications (16)
Article
Correlation analysis is one of the most popular statistical methods. Despite that, the way research reports correlation is often misleading. The difficulty increases with the amount of information that must be read and interpreted. The proposed CI thermometer makes correlation matrices much easier to read and provides information that would be diff...
Article
Full-text available
Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component ana...
Article
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Nowadays, we cannot imagine conducting analysis and creating any graph without support of various computer programs. They make researchers' work easier. No matter how good their computer skills are, it is always nice to have some help, and that is what default settings usually are for. It is believed that using default settings of graphical softwar...
Article
Full-text available
A pie chart is a common way of presenting simple statistics-for example, the amount of time devoted to teaching, researching, and administration by the faculty can be illustrated by dividing a circle ('pie') into three appropriately sized segments. There has been much discussion about the strengths and weaknesses of such pie charts for a long time,...
Article
The Tukey mean-difference plot, also called the Bland–Altman plot, is a recognized graphical tool in the exploration of biometrical data. We show that this technique deserves a place on an introductory statistics course by encouraging students to think about the kind of graph they wish to create, rather than just creating the default graph for the...
Article
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In this article, we report on the status of graphs in 21 scientific agricultural journals indexed in Thomson Reuters’Web of Knowledge.We analyze the authors’ use of graphs in this context in relation to the quality of these journals as measured by their 2-year impact factors. We note a substantial variability in the use of graphs in this context: Fo...
Article
Full-text available
Harvest index describes plant capacity to allocate biomass (assimilates) into the formed reproductive parts; hence it is an important trait for plant breeding. Its relationships with biomass and grain yield follow the multiplicative yield component model, in which grain yield is a product of harvest index and biomass yield. In this paper a visualiz...
Article
In many sciences, the relationships among the variables in multivariate data sets are often explored by means of correlation tables. In such studies there is often only one key variable of interest, for example, grain yield for cereals in agriculture, and class-size and academic performance in education. However, in such instances, there are no par...
Article
Genetically modified organisms (GMOs) are a hot topic for debate among researchers from a wide range of scientific disciplines – in particular, agriculture, biotechnology and environmental protection. The debate, however, is not limited to science. GMOs are also discussed in the mass media, giving rise to extreme emotions, both positive and negativ...
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Full-text available
Genetically modified organisms (GMOs) are a hot topic for debate among researchers from a wide range of scientific disciplines – in particular, agriculture, biotechnology and environmental protection. The debate, however, is not limited to science. GMOs are also discussed in the mass media, giving rise to extreme emotions, both positive and negativ...
Article
Full-text available
This paper offers a new method of inspecting associations in multivariate data sets, which is important when one wants to present a correlation table, frequent situation in agricultural sciences. We propose to use a simple visualization technique called the Bland-Altman plot for that, with a minor modification. The plot compares Pearson’s and Spear...
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Wykorzystanie diagramu łodyga i liście do analizy danych w środowisku R * Use of stem-and-leaf diagram for data analysis in R environment Szczególną rolę w analizie danych odgrywa badanie rozkładu zmiennych ilościowych; w tym celu najlepsze okazują się być techniki graficzne. Wśród bogatej oferty różnego rodzaju wykresów wykorzystywanych w tym celu...
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Scatterplots are overwhelmingly often used in numerous branches of science. Unfortunately, they fail when the number of points in a plot is very large. Graphing hexagonally binned data is one of the efficient ways of dealing with such situations. This paper shows the application of a display of hexagonally binned data for a three-year field experim...
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Full-text available
The paper offers R code for a simple representation of multivariate data sets that provides a broad picture of any patterns in the data and highlights anomalous observations. The code can be used for both grouped and ungrouped data.
Article
Full-text available
Mosaic plots can help visualize contingency tables, even those complex ones, consisting of many categorical variables. This kind of display can be very helpful in understanding simple and complex associations among categorical variables, especially for three- and more way tables. That said, applications of this display are all-too-rare. This paper...

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