Plot scatterplot and/or regression lines for multiple columns R

Question

I've got a large dataset with multiple, asynchronous measurements of labvalues, and I can't figure out how to to visualize these through individual lines, scatter plots, and a scatter plot with logistic regression lines.

Also, I want to lable patiens from categories, so i cant simply create new columns of lab_moment1 - lab_moment3 for the X and values1 - 3 for the Y.

So I want to visualize all the xy coordinates of the labmoments and values in one scatter plot, whilst preserving the patient categories.

Dataset:

ID Mutation    Lab_moment1  Lab_moment2   Lab_moment3   Lab_value1    Lab_value2     Lab_value3 
1   1           4            6             11            0.9           0.1             0.7    
2   2           2            3             12            1.9           0.2             0.15     
3   1           10           15            19            0.13          0.4             0.25   
4   3           9            11            20            0.7           0.83            0.5    
5   3           1            6             11            1.1           0.2             2.3

Does this answer your question? How to plot all the columns of a data frame in R — tjebo
– tjebo, Commented Nov 19, 2020 at 16:37

hendrik · Accepted Answer · 2020-11-19 15:59:43Z

0

Solved it myself by converting the dataset to Long format. You can then simply input a single x and y, R will recognize the ID's itself and plot it using the geom_point() and geom_smooth()

answered Nov 19, 2020 at 15:59

hendrik

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1 Comment

tjebo Over a year ago

well done finding the solution. I marked your question as a duplicate, but that does not mean that you need to delete it. Keep it, so search engines may be more likely to find a good thread for their similar question.

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