ecology.msu.montana.edu/labdsv/R/labs/ R Labs for Vegetation Ecologists This section of the Laboratory for Dynamic Synthetic Vegephenonenology (LabDSV) includes tutorials and lab exercises for a course in quantitative analysis and multivariate statistics in vegetation ecology. Example data sets are included and may be downloaded to run the exercises if desired. Please understand, it is not my intention to teach vegetation analysis in these labs. HTML is simply too limiting. My intention is to demonstrate the utility of R (and S-Plus) for vegetation analysis, to teach the rudiments of the S syntax, and to make routines and examples available to augment formal study in vegetation ecology. As a compromise to those more interested in ecology than S, I have written a number of functions that minimize the amount of S you have to learn to perform vegetation analysis. Since I first wrote and posted this material years ago R has undergone extraordinary development, and has been adopted wholeheartedly by ecologists.
Biometria II Materia de grado. Correlativas: ciclo troncal de la carrera aprobadoMateria de posgrado. La materia está dividida en dos módulos: 1. Análisis de la varianza y diseño de experimentos, 60 hs, otorga 3 puntos2. Análisis multivariado, 40 hs, otorga 2 puntosLos alumnos de posgrado pueden optar por cursar uno o ambos módulos. Importante: los alumnos de posgrado que deseen cursar la materia completa deben inscribirse en ambos módulos. Curso 2013 Alumnos de grado: Inscripción mediante el sistema GUARANI. Graduados: Para los alumnos graduados hay cupo. Graduados de otras facultades y que no estén inscriptos en Doctorado FCEN: Si han sido ADMITIDOS en el curso deberán presentarse en el Depto de Graduados para tramitar su inscripción al curso. Inicio de clases 2013: COMIENZAN EL JUEVES 15 DE AGOSTO (con clase de TP). EL Módulo 2 COMIENZA EL MIÉRCOLES 9 DE OCTUBRE (CON CLASE TEÓRICA). Horarios y aulas Teóricas: lunes y miércoles, de 9 a 12 hs, aula 10 Pab II Prácticos: Son los objetivos de este curso:
QSTK Tutorial 1 - Quantwiki Overview In this tutorial we will take a look at using QSTK code for basic time series analysis of stock price data. Python works well for this because you can do some very powerful analyses in a few lines of code. In this tutorial we focus on techniques for looking at equity price data, but you might also want to consult this more general tutorial about NumPy as well. Acknowledgments: We heavily leverage pandas and NumPy. Prerequisites Make sure you have installed QSTK correctly. Reading Historical Data In this first section of the code we import several useful libraries. numpy, pylab and matplotlib provide a number of functions to Python that give it MATLAB-like capabilities. datetime helps us manipulate dates. import QSTK.qstkutil.qsdateutil as du import QSTK.qstkutil.tsutil as tsu import QSTK.qstkutil.DataAccess as da import datetime as dt import matplotlib.pyplot as plt import pandas as pd We'll be using historical adjusted close data. Now we are ready to read the data in: First Figure
Secretaría de Ciencia y Técnica Otorgamiento de Becas Resolución (CS) Nº 7117/2013 Anexo III – Becas Maestría Anexo IV – Becas Doctorado Anexo V – Becas Culminación de Doctorado Resolución (CS) Nº 7521/2013Resolución (CS) Nº 7609/2013 Reconsideraciones En referencia a las notas de reconsideración de las becas de la Convocatoria 2013, se detalla a continuación el procedimiento a seguir por los postulantes a beca: 1) se encuentra disponible la vista de su evaluación a través del SIGEVA 2) luego de tomar vista de la evaluación y en el caso que el interesado lo considere oportuno, podrá presentar una nota de reconsideración dirigida a esta Secretaría especificando los errores u omisiones de las evaluaciones. Formularios e Instructivos para la firma del convenio de otorgamiento Doctorado Instructivo Formularios Doctorado Convenio Aceptación del Director Declaración Jurada de Cargos UBA Maestría Instructivo Formularios Maestría Convenio Aceptación del Director Declaración Jurada de Cargos UBA Bases y condiciones
Public Data Explorer Indicadores sobre Desarrollo Humano Informe sobre Desarrollo Humano 2013, Programa de las Naciones Unidas para el Desarrollo Los datos empleados para calcular el Índice de Desarrollo Humano (IDH), y los otros indicadores compuestos que se publican en el Informe Sobre Desarrollo ... Desempleo en Europa (mensual) Eurostat armonizados de datos de desempleo de los países europeos. Salario mínimo en Europa Salarios mínimos brutos bianuales por mes en euros o en paridades de poder adquisitivo. Penetración de la banda ancha en Europa Cantidad bianual de líneas de acceso a banda ancha en valores absolutos y por cada 100 personas. Deuda gubernamental en Europa Estadísticas financieras gubernamentales de los países europeos. Los precios del combustible en Europa. Los precios medios de Diesel y Gasolina sin plomo 95. Población México Instituto Nacional de Estadística y Geografía (INEGI) Población Total Estados Unidos Mexicanos Datos de población según Padrón Municipal Instituto Nacional de Estadística
Implicit None | Complexity, Networks, Marketing, Simulation, and more … VIM-LaTeX Otros temas Bash Bash is the GNU Project's shell. Bash is the Bourne Again SHell. Bash is an sh-compatible shell that incorporates useful features from the Korn shell (ksh) and C shell (csh). It is intended to conform to the IEEE POSIX P1003.2/ISO 9945.2 Shell and Tools standard. The improvements offered by Bash include: Command line editingUnlimited size command historyJob ControlShell Functions and AliasesIndexed arrays of unlimited sizeInteger arithmetic in any base from two to sixty-four The maintainer also has a bash page which includes Frequently-Asked-Questions. Downloading Bash Bash can be found on the main GNU ftp server: (via HTTP) and (via FTP). Documentation Documentation for Bash is available online, as is documentation for most GNU software. Mailing lists To ask for help about bash, bash programming or bash shell scripting please use the <help-bash@gnu.org> mailing list. Getting involved Development Translating Bash Maintainer Licensing
Grive: Open Source Google Drive Client For Linux Update: grive was abandoned and no longer works. You may want to take a look at Grive2 instead. The Google Drive client isn't yet available for Linux and the old Google Docs FS doesn't work too well with Google Drive, so besides the web interface, the best solution to get Google Drive on Linux right now is using Grive, an unofficial, open source, command line Linux client for Google Drive. For now, the application is considered experimental and it lacks full sync, but it can upload and download new or changed files already (so you can access your files offline). Initially, Grive didn't support uploading new files and it could only upload changed files but the latest version from GIT (available in the WebUpd8 PPA) supports uploading new files too. Update: the issues above have been fixed (except for watching for changes and automatically syncing them) in the latest Grive. Install Grive (CLI Google Drive Client) in Ubuntu Using Grive 1. mkdir -p ~/grive 2. cd ~/grive 3. grive -a That's it.