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R and Python for Oceanographers

on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;

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Oceanographic Analysis with R

treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.;

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Oceanographic Analysis with R

treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.;

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Geophysics

technologies. Topics discussed comprehend environmental geophysics, with an explanation of geophysical methods ( seismic refraction and reflection;

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Ocean Environment and Fisheries

analysis of the distribution of various oceanographic factors and fish catch data for oceans. It also briefly contains some of the recent studies;

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British Oceanographic Vessels, 1800-1950

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Modeling Methods for Marine Science

propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with;

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Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide;

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Computational Methods for Numerical Analysis with R

Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide;

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R Data Analysis Cookbook -

reporting with Shiny * Get started with geospatial analysis * Handling large data with R using Spark and MongoDB * Build Recommendation system;

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CCBA (R) and CBAP (R) Certifications Study Guide

A handy, on-the-job reference filled with real-life scenarios to help you achieve the Certified Business Analysis Professional (CBAP (R;

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Learning RStudio for R Statistical Computing

A practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with;

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Hands-On Exploratory Data Analysis with R

Discover and practice graphical exploratory analysis techniques across domains Book DescriptionHands-On Exploratory Data Analysis with R will;

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Using R for Trade Policy Analysis

Trade Policy Analysis and explain how to implement the codes in R. This books targets readers with a basic knowledge of R. It is particularly;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Applied Meta-Analysis with R and Stata

without having to plough through theorems and proofs. -Journal of Applied Statistics Statistical Meta-Analysis with R and Stata, Second;

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Chemical Reference Materials

The accuracy of chemical oceanographic measurements depends on calibration against reference materials to ensure comparability over time;

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R

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book;

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Oceanography and Mine Warfare

with ONR and the Office of the Oceanographer of the Navy, convened five previous symposia on tactical oceanography. Oceanography and Mine;

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Computational Statistics

software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic;

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Complex Oceanographic Research on the Black Sea

This book contains articles by oceanographic researchers from the (former) USSR and presents new data on various aspects of the Black Sea;

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Pedigree Analysis in R

, pedigree reconstruction, linkage analysis and clinical segregation analysis Easy-to-follow R code with explanations Based on the;

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Data Analysis Methods in Physical Oceanography

covering spectral, wavelet, and harmonic analysis techniques Examples address typical data analysis problems yet provide the reader with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with;

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Clinical Trial Data Analysis Using R and SAS

Adds SAS programs along with the R programs for clinical trial data analysis. Updates all the statistical analysis with updated R;

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Doing Meta-Analysis with R

* Contains two introductory chapters on how to set up an R environment and do basic imports/manipulation of meta-analysis data, including;

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Applied Econometrics Using the SAS System

models. Subsequent chapters balance essential concepts with SAS(R) tools and cover key topics such as: Regression analysis using Proc IML and;

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