README Files for Data from Caves et al., 2018 Nature - Categorical perception of colour signals by a songbird Filename: "GrayLongFormData.csv" - ColA: "bird.ID" - ID number of bird - ColB: "cat" - type of comparison (e.g., grayscale 2v3) - ColC: "cont" - Michelson contrast value of the two compared grays - ColD: "pass" - pass frequency for the given comparison (0 --> 1) - ColE: "n" - number of trials completed by that bird for that comparison. Filename: "LongFormZebraFinchData.csv" - ColA: "bird.ID" - ID of bird - ColB: "date" - date of trial - ColC: "stage" - stage of trial for bird, e.g., "Trials21: 1v5" is the 21st trial, with comparison colors 1 and 5 - ColD: "trial" - number of trial in that given day (2 --> 6) - ColE: "chips" - which two discs (chips) the bird flipped, and duration until first disc was flipped - ColF: "col1" - the first color of the bicolor disc - ColG: "col2" - the second color of the bicolor disc - ColH: "cat" - comparison (e.g., color 1v5) - ColI: "across" - binary; whether the comparison crossed the putative 5v6 boundary - ColJ: "pass" - binary; whether the bird passed the comparison - ColK-->N: the chromaticity space coordinates in the x1 or x2 dimensions for the first or second colors in the comparison. E.g., "col1x2" is the x2 dimension coordinate of col1 (column F). - ColO: "edist" - the euclidean distance between the colors, in chromaticity space - ColP: "bright1" - the brightness value of col1 - ColQ: "bright2" - the brightness value of col2 - ColR: "contrast" - the Michelson contrast between colors 1 and 2. Filename: "Annotated Script" - an R script used to analyze the data in the two .csv files. Each file is required at a specified line, and can be loaded by keeping the .csv files in the same folder as the working directory.