Edit. To get shaded confidence bands use polygon.Since you want two confidence levels you probably need to make one prediction for each.The line will get covered by the polygons, so it's better to make an empty plot first using type="n" and draw the lines at the end.
The remaining issue is that the data are scaled and centred around 0, meaning interpretation of the graph is impossible. I'm able to unscale the data using an answer from @BenBolker to this question but this does not display correctly:
The FindMarkers command pulls data from the data slot by default, and hence that is what I usually do. Likewise, I understand why @jgamache014 is seeking to integrate all features. For me it helps having all genes integrated e.g. when my supervisor asks me to plot a new gene with DimPlot on demand. {"payload":{"allShortcutsEnabled":false,"fileTree":{"PCA":{"items":[{"name":"Homework6.Rmd","path":"PCA/Homework6.Rmd","contentType":"file"},{"name":"Homework6.pdf
Any scripts or data that you put into this service are public. DMwR documentation built on May 1, 2019, 9:17 p.m. This package includes functions and data accompanying the book "Data Mining with R, learning with case studies" by Luis Torgo, CRC Press 2010.
Reshape the data in R. 2. reshape of a large data. 2. Reshaping a data in R. 0. Reshape data in R. 1. Reshaping data in R using melt. 0. How to reshape dataset. 1 The scale () function in R can be used to scale the values in a vector, matrix, or data frame. This function uses the following basic syntax: scale (x, center = TRUE, scale = TRUE) where: x: Name of the object to scale. center: Whether to subtract the mean when scaling. Default is TRUE. gUhUI.
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