Kernel Canonical Correlation Analysis

Hello, good afternoon, I am having problems with the kernel discriminant analysis, especially in how I load the data, what the format is like, and what the rows and columns are like.

Welcome, @jeru

This tool interprets tabular format data – that means values separated by tabs.

The variables can be in a single column file each, or you can choose the column from a multiple-column file to use for each.

Remember that this is an R tool – so R format rules apply. For this, those would be numbers and the same number of columns for every row. I’m not sure if scientific notation is supported or not so if that is your issue, try not using it. Also see the link outs in the tool form Help to see what the outside-of-Galaxy usage is and do the same in Galaxy: a “data structure” is the same as a tabular file for this.

Hope this helps!

Mi problema para hacer un analisis de correlacion canonico y analisis discriminante es la organizacion de los datos no sé que etsoy haciendo mal, los tengo en formato txt. texto delimitado por tabulaciones.

Hi @jeru

Your input datasets should have the datatype tabular assigned.

How to learn what data a tool can use

Click on accepted formats to see the listing. When a dataset also has that datatype format, it will be listed.

For this tool, you can select the columns in that file to use for each of the two variables.

How to check the datatype format

Getting more help

If you want to share your work, we can review closer. We’ll need the specific details about what you are doing to offer more meaningful advice.

Thanks! :slight_smile: