Title: Make Quick Descriptive Tables for Continuous Variables
means, confidence intervals) for continuous variables. This
has been given to get results from R to 'Microsoft Word' ® with minimal pain.
Packaged: 2020-07-29 13:44:22 UTC; bradcannell

Packaged: 2022-03-19 21:35:49 UTC; bradcannell

Title: Detection and Control of Tree-Ring Widths on Scanned Image
Author: Wilson Lara <wilarhen@gmail.com>, Carlos Sierra <csierra@bgc-jena.mpg.de>
Description: This package assists in the identification of ring borders on scanned image sections from dendrochronological samples. It processes the image section and computes luminance data from images producing a matrix of gray values and a time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. The package provides functions to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to negative extreme values in the smoothed time-series of gray values.

Author: Wilson Lara, Carlos Sierra, Felipe Bravo
Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processesing of image reflectances to produce gray matrices and a time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.

Description: Identification of ring borders on scanned image sections from dendrochronological samples. Processing of image reflectances to produce gray matrices and time series of smoothed gray values. Luminance data is plotted on segmented images for users to perform both: visual identification of ring borders, or control of automatic detection. Routines to visually include/exclude ring borders on the R graphical device, or automatically detect ring borders using a linear detection algorithm. This algorithm detects ring borders according to positive/negative extreme values in the smoothed time-series of gray values.