For example, 42% of the papers used in a recent meta-analysis presented some or all of the required data in figures (Noble et al., 2018). As well as being presented in the text or tables of research papers, descriptive statistics are frequently presented in figures. means, SD, sample sizes, correlation coefficients) extracted from primary literature. These techniques rely heavily on descriptive statistics (e.g. Meta-analyses are extremely important in providing a means of quantitatively synthesizing experimental and/or observational studies to evaluate empirical support for fundamental theory in E&E (Gurevitch, Koricheva, Nakagawa, & Stewart, 2018). The use of meta-analysis in E&E, in particular, is rapidly growing, not only in terms of the number of meta-analyses (in plant ecology alone the yearly number of published meta-analyses doubled from 2006 to 2012 ), but also in terms of their size (a recent meta-analysis, for example, included 6,440 effect sizes from 175 publications ). In the fields of ecology and evolution (E&E), these data are most commonly used for comparative and meta-analyses. In many different contexts, researchers make use of data presented in primary literature. We hope that by making the process of figure extraction more flexible and easy to conduct, it will improve the transparency and quality of meta-analyses in the future. Digitised data can be easily re-plotted and checked, facilitating reproducible data extraction from plots with little inter-observer bias.Notably, it enables large-scale extraction by automatically loading image files, letting the user stop processing, edit and add to the resulting data-frame at any point. metaDigitise is user-friendly and easy to learn as it interactively guides the user through the data extraction process. bar graphs with standard errors), (b) box plots, (c) scatter plots and (d) histograms.
GRAPHCLICK SOFTWARE
sample sizes, treatment/variable names) about experiments and is not integrated with other software to streamline analysis pipelines. Additionally, current software lacks an ability to incorporate important metadata (e.g. Extracting descriptive statistics from figures can be a slow process that is not easily reproducible.However, the exact values of such statistics are commonly hidden in figures. Research synthesis, such as comparative and meta-analyses, requires the extraction of effect sizes from primary literature, which are commonly calculated from descriptive statistics.
GRAPHCLICK MAC
So if you are a Mac or Windows developer looking to explore some innovative applications for your business needs, then you must definitely consider downloading and trying out the GraphClick.
GRAPHCLICK CODE
GraphClick has also made available the source code and the entire development platform of GraphClick alternatives for the Mac developers to use and experiment with the tool as well. The main reason why this tool has been released for the Windows platform is because it is very compatible with the Windows based computer systems out there. Although this tool was initially developed for Mac, but later it has been ported to many different operating systems. This is one of the many graph visualization tools developed by GraphClick.
GRAPHCLICK FREE
It is a fast, stable and free solution that is compatible with all the modern browsers and it works on most mobile phones. As GraphClick alternatives are generally based on the same foundation of Map-rows, so you don't need to understand Map-rows at all. All the functionality of the application is built in the GraphClick alternatives Java code. It is a pure Java application hence there's absolutely no need to write a single line of script for your application. GraphClick uses the Java platform to access the underlying Map-rows interface. But you got the point of a graph but not its corresponding information? Well, GraphClick solves the problem for you! You only need to click on your graph, and then the received coordinates of all the selected points can be immediately exported to any other software. GraphClick is a graph analyzer software that lets you automatically extract the original (x, y) data from a chart, a graph or even a video.