1. Autoplot Visual Field Test
2. Autoplot Vw

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Interface to Autoplot Java library

AutoPlot Tools & AP Cable Tools for SpotLigh t version 2019.75 for Vectorworks 2019 (uploaded ) AutoPlot Tools & AP Cable Tools for SpotLigh t version 2018.895 for Vectorworks 2018 (uploaded ) AutoPlot Tools for SpotLight.zip version 2017.3 for Vectorworks 2017 (uploaded ). Contact Sam Jones for support and comments at. Sjones@autoplotvw.com (310) 207-0392 home/office (310) 993-4172 cell. Arguments object. Time-series-like instance. Character vector specifies target column name(s) group. Character vector specifies grouping. Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii.cdf, netcdf, and many other formats.

Project description

Autoplot is a Java application which can read data from many sources, such as ASCII tables, NASA CDF files, and HDF5 files. It can also read data from data servers, such as the server at NASA/Goddard/CDAWeb, Das2Servers used by the Radio andPlasma Wave Group at the University of Iowa, and servers supporting the HAPI API.

Autoplot identifies data using “URIs”, which are one-line strings containing a data source ID and configuration to read the data.These URIs can be created using the Autoplot application, available at http://autoplot.org/.Data are read into a standard data model, QDataSet, which is easily adapted to Python using “JPype”.Helper procedures from the autoplot package convert QDataSets into ndarrays.

Autoplot/Python Interface Tools

Install using pip install autoplot

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The autoplot function plots performance evaluation measures by using ggplot2 instead of the general R plot.

Arguments

object	An S3 object generated by evalmod. The autoplot function accepts the following codeS3 objects for two different modes, 'rocprc' and 'basic'. ROC and Precision-Recall curves (mode = 'rocprc') S3 object # of models # of test datasets sscurves single single mscurves multiple single smcurves single multiple mmcurves multiple multiple Basic evaluation measures (mode = 'basic') S3 object # of models # of test datasets sspoints single single mspoints multiple single smpoints single multiple mmpoints multiple multiple See the Value section of evalmod for more details.
curvetype	A character vector with the following curve types. ROC and Precision-Recall curves (mode = 'rocprc') curvetype description ROC ROC curve PRC Precision-Recall curve Multiple curvetype can be combined, such as c('ROC', 'PRC'). Basic evaluation measures (mode = 'basic') curvetype description error Normalized ranks vs. error rate accuracy Normalized ranks vs. accuracy specificity Normalized ranks vs. specificity sensitivity Normalized ranks vs. sensitivity precision Normalized ranks vs. precision mcc Normalized ranks vs. Matthews correlation coefficient fscore Normalized ranks vs. F-score Multiple curvetype can be combined, such as c('precision', 'sensitivity').
...	Following additional arguments can be specified. type A character to specify the line type as follows. 'l' lines 'p' points 'b' both lines and points show_cb A Boolean value to specify whether point-wise confidence bounds are drawn. It is effective only when calc_avg of the evalmod function is set to TRUE . raw_curves A Boolean value to specify whether raw curves are shown instead of the average curve. It is effective only when raw_curves of the evalmod function is set to TRUE. show_legend A Boolean value to specify whether the legend is shown. ret_grob A logical value to indicate whether autoplot returns a grob object. The grob object is internally generated by arrangeGrob. The grid.draw function takes a grob object and shows a plot. It is effective only when a multiple-panel plot is generated, for example, when curvetype is c('ROC', 'PRC'). reduce_points A Boolean value to decide whether the points should be reduced when mode = 'rocprc'. The points are reduced according to x_bins of the evalmod function. The default values is TRUE.

Value

The autoplot function returns a ggplot object for a single-panel plot and a frame-grob object for a multiple-panel plot.

See also

evalmod for generating an S3 object. fortify for converting a curves and points object to a data frame. plot for plotting the equivalent curves with the general R plot.

Autoplot Vw

Examples