Hi,I have quick question on peak integration visualization using xcms. What function should I use to visualize the peak integration after peak picking, ret correction, and grouping? I am not sure if getEIC will help. I am looking for something like I have attached. I want to see how my preprocessing methods have worked. I have attached image as an example for reference.Thank you for your time.
xeic.raw <- getEIC(test, rt = "raw", groupidx=1:4, sampleidx=4)plot(xeic.raw, test, groupidx=1)
Peaks_of_all_samples_for_one_found_feature <- getEIC(xcmsSet_object, groupidx = 1183) #in this case the extracted feature is 1183plot(Leucine, x) #this is the plot.xcmsEIC however, apparently the "xcmsEIC"-part must not be used for that command