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2018 Feb 23
2
How to Save the residuals of an LM object greater or less than a certin value to an R object?
...linear regression, and now I want to find out which cases have a residual of above + 2.5 and ? 2.5. Below I provide the R commands I have used. Reg<-lm(a~b+c+d+e+f) # perform multiple regression with a as the dependent variable. Residuals<-residuals(reg) # store residuals to an R object. stdresiduals<-rstandard(reg) #save the standardized residuals. #now I want to type a command that will save the residuals of certain range to an object. I realize that by plotting the data I can quickly see the residuals outside a certain boundtry, however, I am totally blind, so visually inspecting...
2018 Feb 23
0
How to Save the residuals of an LM object greater or less than a certin value to an R object?
Residuals are stored as a numeric vector. The R software comes with a document "Introduction to R" that discusses basic math functions and logical operators that can create logical vectors: abs( stdresiduals ) > 2.5 It also discusses indexing using logical vectors: stdresiduals[ abs( stdresiduals ) > 2.5 ] Note that in most cases it is worth going the extra step of making your example reproducible [1][2][3] because many problems arise from issues in the data or in code that you don't t...
2018 Feb 25
0
How to Save the residuals of an LM object greater or less than a certin value to an R object?
...e: my_res[my_res >= 0.1] About your second question, I don't entirely understand what you want. The "which()" function returns the indexes for which the condition is TRUE. In this case, that the absolute value is greater than 2.5. Alberto Garre > Also, > > which( abs( stdresiduals ) > 2.5 ) > > will tell you which of the standardized residuals are bigger than 2.5 in absolute value. It returns a vector of indices, as in > > > set.seed(1234) > > x <- rnorm(100) > > which (abs(x) > 2.5) > [1] 62 > > x[62] > [1] 2.548991 > &g...