Several updates to Scatter Plot Bar App
I added to the Scatter Plot Bar a possibility to display significance levels expressed as p values (or adjusted p val.) or asterisks together with brackets, indicating compared columns on the plot (or boxes / violins). In the 'Statistics' section, after chosing parametric or non-parametric tests, you would find a tickbox named 'Choose display style and font size', which would open 'Show p-value on the plot' tickbox, among others. For two sample tests like t-test or Wilcoxon's you could add another pair of for displaying significance on the plot
I also added a possibility to download the resulting plots as PDF, TIFF, SVG, EPS, and PNG file formats.
Scatter Plot Bar is a free online dot plot generator that can combine it with bars or columns, or with a crossbar, boxplot or violin plot. You could also easily make a heatmap (the second tab of the plot area, or a line plot with standard deviations in Excel style. The other app on the sie is a free and versatile R-lang-based correlation heatmap maker
Molarity and Volume Calculator App
Made an app for calculating a required volume to be added to chemical to achieve a certain concentration based on moleculs's molecular mass (in Daltons). On the second tab of the same app you can calculate molarity of the solution (in mM) based on molecule's mass and volume (in ml)
Scatter Plot Bar Web App Update With Heatmap functionality
Added heatmap as an additional data visualisation tool in Scatter Plot Bar App arsenal. This is especially useful for e.g. gene expression analyis :
New Web App For Analysing Calcium Imaging Time-Lapse Series
This is a demo app that can analyse only several frames on the server click here for demo .
This demo works only with a few movie frames. For analysing larger series download code at GitHub (click)
New Web App for Generating Correlation Heatmaps
Create correlation heatmaps, calculate number and percentage of correlating pairs. Pearson's Correlation Heatmaps generator online . It is also possible to plot all of data with or without detrending. Detrending results in many datapoints becoming negative and they would be excluded from the analysis. This approach often leads to more accurate correlation analysis and allows to estimate samples overall activity (rightmost button) more accurately.
Custom colors for datapoints in dot plots combined with columns or other graphs
Custom-colored scatter plots combined with bars or other geometry graphs is now enabled but only for regular graphs, not for stacked barcharts yet.
The scatter plot with custom colors overlaying columns would loook like this:
Stacked bar charts are now enabled
Generate stacked columns and percent stacked barplots online
Generating stacked barplots or percent stacked bar charts using an example table would result in these types of graphs:
One could change the width of the columns, their color opacity and thickness of the lines in the 'Fill color and datapoints controls' section bwlo the plot. In addition, title and axes text size can be change from the left panel
In ggplot2 creating percent stacked bar charts can be achieved by adding position="stack" to the
geom_bar(). The regular bar stacking is a default in geom_bar()
Grouped graphs are now enabled
Create grouped columns, bar plots, violin and box plots, and crossbars combined with dot plots online
It is now possible to upload a table for making grouped or clustered plots. The table must be of a specific formate. Two first columns must be with categories and the third with numeric values. An example table at Google Docs The resulting grouped graph generated online with this web app would look like this:
