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--- notes:r_cheat_sheet [2026/11/02 00:30]
70.180.36.133 old revision restored (2026/09/22 22:33)
+++ notes:r_cheat_sheet [2026/11/03 05:09] (current)
157.100.198.61 old revision restored (2026/08/03 07:09)
@@ Line 26: / Line 26: @@
   * Scalar operations or functions on vectors typically produce other vectors e.g. + - == sin(myseq)
-===== Data Sets =====
-  * ''factor'' is a collection type for categorized values - ''myfac=factor(myvec)''
-  * ''factor''s group unique string values as ''level''s e.g. levels(myfac) shows unique levels.
-  * ''as.integer(myfac)'' shows levels as integers, can be used to set plot type
-  * ''legend("topright", levels(types), pch=1:length(levels(types)))''
-  * A data frame collects sets of related values (i.e. sets of columns with values in the same order) e.g. ''mydf=data.frame(weights,prices,types)''
-  * To extract a column, use double-square brackets with the column index or name e.g. ''mydf%%[['weights']]%%'' or just a dollar sign e.g. ''treasure$prices''
 ===== Plotting =====
@@ Line 54: / Line 47: @@
 ===== Statistics =====
-  * ''mean(myvec)  median(myvec)   sd(myvec)''
+  * ''mean(myvec)'' returns the mean.
 ===== File Handling =====
   * ''list.files()'' to list files in furrent directory
   * ''source("file.R")'' to load file of code
-  * ''read.csv('mydat.csv')'' to load a csv file

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