![]() The purple line is orthogonal to the discriminant function. The black line is the actual first discriminant function, along which the groups are maximally separated. 6) # DF1 slope_DF1 <- Grazed_lda1 $scaling /Grazed_lda1 $scaling abline( 7, slope_DF1, lwd= 2) # classification threshold line slope_CL1 <- 1 /(Grazed_lda1 $scaling /Grazed_lda1 $scaling) int_CL1 <- ((Grazed_lda1 $means %*%Grazed_lda1 $scaling + Grazed_lda1 $means %*%Grazed_lda1 $scaling) / 2) * (Grazed_lda1 $scaling / Grazed_lda1 $scaling /Grazed_lda1 $scaling) abline(int_CL1, slope_CL1, col= "purple", lwd= 2) 5) chw <- par() $cxy text(WidthWS +chw, DepthWS * 10, label= as.character( round(Grazed_dscore, 2)), cex=. # plot discriminant function and classification line # to make plots easier to interpret, rescale DepthWS by 10x plot(WidthWS, DepthWS * 10, type= "n", asp= 1) text(WidthWS, DepthWS * 10, label= as.character(Grazed), cex=. Like a physical machine, a virtual machine has its own operating system (Windows, Linux, etc.), storage, networking, configuration settings, and software, and it. Local Disk: Includes Hard disk, Pendrive, memory card, etc. ![]() Disk Image or VM file: Includes images that are an exact copy of a hard drive or media card, or a virtual machine image. # Reach 2 0.08798 0.043990 5.9896 0.003685 ** What is a Virtual Machine (VM) For simplicity, think of a virtual machine, VM, as a 'computer made of software' that you can use to run any software youd run on a physical computer. Click on Finish after completing both the steps. Exercise 05 - Data wrangling and matrix algebra.Exercise 03 - Bivariate plots and descriptive statistics.Analysis and visualization of large raster data sets.High-resolution and high-dimension data.Multivariate distances and cluster analysis.Principal components and factor analyses.
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