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R-Instat: Transferring Data from Climsoft

R-Instat
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Uploads from R-Instat
27

R-Instat: Importing Data from the R-Instat Library

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28

R-Instat: Entering a Regular Sequence

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R-Instat: Different Ways of Entering a Consant Column

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R-Instat: Merging Station and Satellite Data

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R-Instat: Importing NetCDF Files

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R-Instat: Organising the Station Data

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R-Instat: Importing MICS Data into R-Instat

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R-Instat: IPUMS Data with R-Instat

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R-Instat: DHS Data with R-Instat

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R-Instat: Comparing Station and Satellite Data - Graphical Comparisons Extra

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R-Instat: Comparing Station and Satellite Data - Graphical Comparisons

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R-Instat: Quality Control - Temperature Data

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R-Instat: Challenges in Tidying Data - Extra Bits 2 - Cameroon

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R-Instat: Challenges in Tidying Data - Extra Bits 1 - Mozambique

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R-Instat: Getting Climatic Data Ready - Extra Bits 2 - Adding Station Data

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R-Instat: Getting Climatic Data Ready - Extra Bits 1 - The Missing Date Challenge

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R-Instat: Preparing Data - Missing Values Options

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R-Instat: Quality Control - Rainfall Data

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R-Instat: Quality Control - Graphical Methods

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R-Instat: Quality Control - Data Inventory

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R-Instat: Transferring Data from Climsoft

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R-Instat: Getting Climatic Data Ready

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R-Instat: Challenges in Tidying Data

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50

R-Instat: Climate Normals - Missing Values

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R-Instat: Climate Normals - Temperature Normals

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R-Instat: Climate Normals - Precipitation Normals

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R-Instat: Preparing Data - Summarising Temperature Data

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R-Instat: Preparing Data - Summarising Rainfall Data

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R-Instat: Preparing and Analysing Data

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R-Instat: Introducing R-Instat for Climatic Analysis

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R-Instat: Preparing Data - Transforming Variables

R-Instat