Rdf = R Get(df) Rdf << NewDataView << Set Name("R Data frame Table") ġ2 /* Produce plots and regression fits with ![]() codes: 0 '***' '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: on 105 degrees of freedom Multiple R-squared: ,Ědjusted R-squared: F-statistic: on 1 and 105 DF, p-value: < 2.2e-16ġ1 /* Create JMP data table from the R data frames */ codes: 0 '***' '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: on 17 degrees of freedom Multiple R-squared: ,Ědjusted R-squared: F-statistic: on 1 and 17 DF, p-value: 1.798e-08 Call: lm(formula = fdef ~ ldef) Residuals: Min Q Median Q Max Coefficients: Estimate Std. ![]() Batch |t|) (Intercept) * x e-08 *** - Signif. R Init() (Connects JMP® to R) R Send() (Sends data object, table, list, matrix, or number from JMP® to R) R Submit(“\\”) (Executes string of R code commands) or R Submit File(/*path to the file that contains the R code you want to execute*/) (Executes externally stored string of R code commands) R Execute(/*list of R input var names*/, /*list of R output var names*/, "\\") (Executes R code ) Varname = R Get() (Brings data from R to JMP®, assigning it to Varname) or R Get Graphics(/*either png or jpg*/) (displays the most recent R plot) R Term() (Disconnects JMP® and R link)Ĩ Open in JMP® and Use Alaskan Pipeline Data in R This presentation will illustrate this capability using Alaskan Pipeline data from the NIST/SEMATECH e-Handbook of Statistical Methods, The advantage of this interface allows users access to the statistical and visualization tools available in both products.Ĥ Getting Started JMP® and R (additional optional libraries as needed) must be installed on the same machine Open JMP® Script window and Log Use File > Open (select script from dialog) or File > New > Script (type or paste code in Script window) Execute R Init() (opens R and links JMP® to R) Output written to JMP® Log and Output Windows This interface allows JMP® to execute R commands, exchange data and output. Ways to replicate these visualizations in SAS® will also be discussedģ JMP® and R Integration Application using Alaskan Pipeline DataĪbstract: JMP® and R Integration is a powerful interface that facilitates communication between both environments. Combining the statistical, graphical and data analytic functionality of JMP® extends information visualization beyond what can be seen with standard image interpretation. Results of the image analyses help radiologists and clinicians decide the medical treatments to give to patients (e.g., surgery, non-operative management, targeted radiation-beam therapies). Radiologists and medical clinicians look for certain signs in these images to diagnose patients with specific injuries and/or medical conditions. CT images are special types of X-rays that are three dimensional cross-sections of internal body organs. ![]() I will demonstrate these capabilities using examples from medical computer tomographic (CT) images. Once data are in data tables, additional analyses and data visualizations may be performed. Review steps and basic functions connecting JMP® with R Compare results from both products Conclusions Q
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