## ----setup, include = FALSE--------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ---- eval = F---------------------------------------------------------------- # install.packages("rPACI", dependencies = TRUE) # library("rPACI") ## ---- echo = F, warning = F, message=F---------------------------------------- library("rPACI") ## ---- eval = T---------------------------------------------------------------- dataset1 = readCSO(filepath = system.file("extdata","N01.txt", package="rPACI")) ## ---- eval = T---------------------------------------------------------------- head(dataset1) ## ---- eval = F---------------------------------------------------------------- # dataset2 = readrPACI(filepath = system.file("extdata","ds1.txt", package="rPACI")) ## ---- eval = T---------------------------------------------------------------- dataset3 = readFile(filepath = system.file("extdata","N01.txt", package="rPACI")) head(dataset3) ## ---- eval = F---------------------------------------------------------------- # # Simulating an elliptic dataset, with ellipses axis ratio of 0.8 and an orientation of 45 degrees. # dataset = simulateData(rings = 18, pointsPerRing = 300, ellipticAxesRatio = 0.8, ellipticRotation = 45) # # # Now the dataset can be saved to file using 'writerPACI' (check the working directory before saving): # writerPACI(dataset, "datasetFile.txt") ## ---- eval = T---------------------------------------------------------------- results_N = computePlacidoIndices(dataset1) results_N ## ---- eval = T, fig.width = 7, fig.height = 4--------------------------------- plotSingleCornea(dataset1, results_N, filename = "N01.txt") ## ---- eval = T, fig.width = 7, fig.height = 4--------------------------------- res_K = analyzeFile(system.file("extdata","K01.txt", package="rPACI"), drawplot=TRUE) res_K ## ---- eval = T, fig.width = 7, fig.height = 4--------------------------------- # Generate a sample dataset dataset = simulateData(rings = 12, maximumMireDisplacement = 0.2, mireDisplacementAngle = 50) # Analyze the dataset res_dataset = analyzeDataset(dataset = dataset) res_dataset ## ---- eval = T, fig.width = 7, fig.height = 4--------------------------------- resultsAll = analyzeFolder(path = system.file("extdata", package="rPACI"), individualPlots = T, summaryPlot = T) resultsAll ## ---- eval = T---------------------------------------------------------------- resultsAll[,c(13,1)] ## ---- eval = F, fig.width = 7, fig.height = 4--------------------------------- # # Simulate the patient's measures over time # dataT1 = simulateData(rings = 12, maximumMireDisplacement = 0.15, mireDisplacementAngle = 10) # dataT2 = simulateData(rings = 12, maximumMireDisplacement = 0.15, mireDisplacementAngle = 45) # dataT3 = simulateData(rings = 12, maximumMireDisplacement = 0.2, mireDisplacementAngle = 50) # # # Create a list containing the data # data = list( # dataT1 = dataT1, # dataT2 = dataT2, # dataT3 = dataT3 # ) # # # Analyze the data over time # analyzeEvolution(data = data) ## ---- eval = T, fig.width = 7, fig.height = 4--------------------------------- # Specify a folder path to analyze a patient's evolution over time analyzeEvolution(data = system.file("extdata/evolution/", package="rPACI"), fileExtension = 'txt') ## ---- echo = F, eval = F, fig.width = 4, fig.height = 4----------------------- # # library(DiagrammeR) # # DiagrammeR::grViz("digraph { # # # # graph [layout = dot] # # # # # define the global styles of the nodes. We can override these in box if we wish # # node [shape = rounded, style = filled, fillcolor = Pink] # # # # step1 [label = 'How many patients?', fillcolor = Beige] # # step2 [label = 'How many measures?', fillcolor = Beige] # # step3 [label = 'Data on file or \n data.frame?', fillcolor = Beige] # # leaf1 [label = 'analyzeFile()'] # # leaf2 [label= 'analyzeDataset()'] # # leaf3 [label = 'analyzeEvolution()'] # # leaf4 [label = 'analyzeFolder()'] # # # # # # # edge definitions with the node IDs # # step1 -> step2 [label='One'] # # step1 -> leaf4 [label='Several'] # # step2 -> step3 [label='Single'] # # step2 -> leaf3 [label='Repeated'] # # step3 -> leaf2 [label='Data loaded in \nglobal environment'] # # step3 -> leaf1 [label='External \nfile'] # # }")