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JMPer Cable

A technical blog for JMP users of all levels, full of how-to's, tips and tricks, and detailed information on JMP features
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Latest Posts

  • How JMP Live goes beyond Interactive HTML

    JMP Interactive HTML can be used either by itself or as part of JMP Live. By itself, Interactive HTML enables users to share reports with dynamic graphs – but JMP Live enables more. Here are the differences between Interactive HTML when used alone and as part of JMP Live in JMP 15. Figure 8. Column Switcher in JMP Live, Exploring Air Quality Data

    heman_robinson heman_robinson
    JMPer Cable |
    Oct 25, 2019 6:40 AM
    4365 views | 0 replies
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  • Functional data analysis for photovoltaic devices: A ray of hope for more clean energy

    The strength of the JMP Pro Functional Data Explorer platform (FDE) is identifying and extracting key features of functional processes for use in further modeling.

    gail_massari gail_massari
    JMPer Cable |
    Oct 24, 2019 8:36 AM
    3912 views | 0 replies
    Diagram of Typical Crystalline Silicon (c-Si) Cell Courtesy of Solar Energy Industries Association.JPG
  • Why JMP Live?

    JMP Live is a major new product designed to help JMP users share their analyses and collaborate. And here's why we thought it was needed.  

    Eric_Hill Eric_Hill
    JMPer Cable |
    Oct 22, 2019 8:56 AM
    4697 views | 0 replies
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  • JMP 15の新機能を使って、ラグビーの得点状況を可視化

    日本は、丁度ラグビー日本代表の活躍に熱狂しているところです。現在、ラグビーワールドカップ2019が日本で開催されておりますが、日本は予選リーグで4戦全勝し、初めてベスト8に進むことができました。 そんな中、丁度JMP 15がリリースしました。データ分析家の血が騒いだのは言うまでもありません。予選リーグのデータを集め、いくつかのデータを可視化してみることにしました。   ラグビーでは、トライ、コンバージョン、ペナルティキック、ドロップゴールなどさまざまな方法で点数を取ることができ、時間内に点数を積み上げていき、最後に点数が上回ったチームの勝利になります。そこで、2チームの対戦で、時間ごとにどのように得点を積み上げていったかをJMPを使って可視化してみることにしました。そんな時、JMP 15の新機能が役に立ったのです!   次のグラフは、ウェールズ(WALES)vs フィジー(FIJI)につい...

    Masukawa_Nao Masukawa_Nao
    JMPer Cable |
    Oct 17, 2019 9:45 PM
    2946 views | 0 replies
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  • Cross Evaluation and Progeny Simulation with JMP Genomics, Part 3: Cross Evaluation, Selection, and Progeny Simulation

    The Cross Evaluation tool in JMP Genomics allows for the evaluation of potential crosses using genetic markers and scoring code files. A scoring code is a SAS file containing a predictive model which quantifies the effects of numerous markers on a trait of interest. The scoring code files used in this example were created in last week’s post, Cross Evaluation and Progeny Simulation with JMP Genomi...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Sep 5, 2019 12:47 PM
    3963 views | 0 replies
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  • Cross Evaluation and Progeny Simulation with JMP Genomics, Part 1: BLUP for Breeding Trial Data

    For this example, we have a set of 309 barley lines, which have been genotyped for ~3,500 markers each. We also have a set of measurements of four phenotypes taken from field trials from two separate locations over a two-year period. The phenotypes measured are protein content, test weight, ergosterol content, and protein yield. Before evaluating crosses and simulating progeny, we must capture the...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Aug 28, 2019 9:36 AM
    7796 views | 0 replies
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  • Cross Evaluation and Progeny Simulation with JMP Genomics, Part 2: Predictive Modeling for Breeding Values

    In last week’s post, we consolidated breeding trial data into a single table using Best Linear Unbiased Prediction. The table below shows ~300 barley lines with phenotypic values for four traits and ~7000 genetic markers. In this post, we will use the Predictive Modeling Review tool in JMP Genomics to create multiple models and compare them via cross validation. After cross validation, we will sel...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Aug 28, 2019 9:35 AM
    6196 views | 0 replies
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  • Navigating your reports using XPath

    Another way to navigate JMP reports? Yes, please!

    Wendy_Murphrey Wendy_Murphrey
    JMPer Cable |
    Aug 7, 2019 11:51 AM
    7268 views | 3 replies
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  • Posting to JMP Public

    Starting with JMP 14.2, JMP users will be able to publish their reports to JMP Public. Prepare your reports in JMP and publish them to JMP Public for others to view — even those who may not have JMP. 

    Owen_Fitzgerald Owen_Fitzgerald
    JMPer Cable |
    Jul 30, 2019 9:57 AM
    5852 views | 0 replies
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  • Expression Analysis with JMP Genomics, Part 3: Basic Expression Workflow

    JMP Genomics has analytical pipelines or Workflows to perform a series of analyses on a data set. The Basic Expression Workflow automates a series of quality control and normalization methods, followed by ANOVA, to perform a basic expression analysis. For this workflow, we will inspect data from an experiment in which MCF7 cells, cells which cause tumors, are exposed to estrogen at three different...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jul 16, 2019 8:56 AM
    6495 views | 2 replies
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  • How to embed JMP Public or JMP Live content in a webpage or blog post

    I wanted to make several graphs in the articles interactive. I knew I could create the interactive graphics in JMP and move them to JMP Public. But I didn't know how to do the bit where I embed the JMP Public content in the article. So, here is how to do it.

    MikeD_Anderson MikeD_Anderson
    JMPer Cable |
    Jul 12, 2019 8:04 AM
    8208 views | 4 replies
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  • Expression Analysis with JMP Genomics, Part 1: Experimental Design

    To perform expression analysis in JMP Genomics, an Experimental Design File (EDF) is required.  The EDF contains sample annotation information and/or phenotype information for a related expression data set. There are a few different ways to create this file but the best method for creating an EDF is dependent upon how your data is organized. For this guide, we create an EDF for a series of data fi...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jul 11, 2019 3:21 PM
    5157 views | 0 replies
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  • Expression Analysis with JMP Genomics, Part 2: Importing Expression Data from Text Files

    In last week’s blog post, we created an Experimental Design File (EDF) using JMP Genomics for a set of gene expression files corresponding to 18 different experimental groups. Now that the experimental design is organized into a SAS data set, the data files (in txt format) can be imported and concatenated into a single table using the Import a Designed Experiment from Text, CSV, or Excel Files too...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jul 5, 2019 12:03 PM
    4558 views | 0 replies
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  • 如何運用JMP進行可靠度(Reliability)分析

    合理應用可靠度分析,可以幫助研發、工程、品質等部門的技術人員提高產品品質的穩定性,降低產品全壽命週期費用和售後服務成本,改善顧客的滿意度和忠誠度。

    Ritalv Ritalv
    JMPer Cable |
    Jul 2, 2019 6:44 PM
    6480 views | 0 replies
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  • Expression Analysis with JMP Genomics

    JMP Genomics is a specialized yet broad tool for analyzing genetic, genomic and other “-omic” data. Whether it's expression analysis, GWAS, predictive modeling, or plant breeding, JMP Genomics has a tool to meet the need.

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jul 2, 2019 2:09 PM
    4822 views | 2 replies
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  • Genetic Association with JMP Genomics

    JMP Genomics is a specialized yet broad tool for analyzing genetic, genomic and other “-omic” data. Whether it's expression analysis, GWAS, predictive modeling, or plant breeding, JMP Genomics has a tool to meet the need. This blog series (the first in a set of four series) will handle genetic association beginning with the data import and continuing through several analytical pipelines.

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jun 26, 2019 7:50 AM
    7103 views | 0 replies
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  • Genetic Association with JMP Genomics, Part 6: SNP-Trait Association

    JMP Genomics has an array of tools to associate genetic variants with traits. One of the most straightforward of these tools is SNP-Trait Association. By performing this analysis, you can quickly identify significant markers for multiple categorical or quantifiable traits. In this example, we explore ~22,000 markers for histiocytic sarcomas (tumors) in a sample of 474 Bernese Mountain Dogs. The ph...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jun 24, 2019 2:17 PM
    8090 views | 10 replies
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  • Genetic Association with JMP Genomics, Part 5: QTL Single Marker Analysis

    The QTL Single Marker Analysis tool in JMP Genomics performs a simple regression to correlate quantitative traits with markers within a genome. This tool is a great way to scan an entire set of markers and quickly identify loci of interest for a trait. In this example we will analyze 90 recombinant inbred lines of oat for their mean differential scanning calorimetry (DSC). Note that the two data s...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jun 18, 2019 1:42 PM
    4875 views | 0 replies
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  • Genetic Association with JMP Genomics, Part 4: Basic Linkage Mapping

    The Basic Linkage Mapping Workflow in JMP Genomics creates linkage maps using genetic marker data. The workflow includes output from the Recombination and Linkage Groups, Linkage Map Order, and Linkage Map Viewer. This includes calculation of recombination frequencies, testing for segregation distortion, assigning linkage groups to sets of markers, generating visualized linkage maps, and reorderin...

    Daniel_Genung Daniel_Genung
    JMPer Cable |
    Jun 18, 2019 1:01 PM
    4995 views | 0 replies
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  • Saving graphs, tables and reports in JMP

    Saving and sharing your output from JMP is easy. Here are some simple ways to save both tabular output and/or graphs in JMP.

    MaryLoveless MaryLoveless
    JMPer Cable |
    Jun 14, 2019 5:41 AM
    92608 views | 19 replies
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