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view all learning resourcesHi, How to exclude missing values from the dataset before analysis. These are random missing values due to instrument malfunction. I don't want to impute my data. I have explored the 'Explore Missing Value' but that didn't help because that changes the interpretation of my PCA results. Is there any other way to do so? Thank you, Beginner_9
I am new to JMP and I am using only the standard JMP 18. So if I generated a figure in JMP, can I embed the live, interactive figure in power point? So the figure can be automatically updated when data table is updated in JMP. It is like the live function in PowerBI. It will be a good reason to upgrade to Pro if it can do that. Thanks.
Hi all, I am trying to compare the RMSE values of a linear fit and log fit model. However, to my understanding the RMSE for the linear fit is in the same units as the response (for instance MPG), but the log fit has log MPG as unit. Is there a possibility within JMP that allows the calculation of RMSE in the original scale? Kind regards, Janneman
I have a question on the setting of Stage 1 P value for analysis of a 7-factor DSD in attachment. I need to set the stage 1 P value at 0,4 to detect the 5 active factors, while the default setting is 0,05; is there an explanation? Is the stage 1 P default of 0,05 not too low? How to set stage 1 P, is there a rule of thumb?
Hi, How to exclude missing values from the dataset before analysis. These are random missing values due to instrument malfunction. I don't want to impute my data. I have explored the 'Explore Missing Value' but that didn't help because that changes the interpretation of my PCA results. Is there any other way to do so? Thank you, Beginner_9
I am new to JMP and I am using only the standard JMP 18. So if I generated a figure in JMP, can I embed the live, interactive figure in power point? So the figure can be automatically updated when data table is updated in JMP. It is like the live function in PowerBI. It will be a good reason to upgrade to Pro if it can do that. Thanks.
在JMP自定义设计中,当添加一个大小为k的组时,默认次数和最小次数是如何变化的,其背后的逻辑是什么?
JMP Student Editionの初回起動時に下記オペレーションを行った際のログイン情報が Windows11パソコン上のどのレジストリに保存されるのか教えてください。 ①ユーザーは割り当てられたPCで JMP Student Edition を起動します。 ②ソフトウェアを起動すると、承認されたメールアドレスの入力が求められます。 ③ユーザーは、ライセンスを取得するために使用したメールアドレスを入力し、 さらにそのアドレスに送られた検証コードを入力する必要があります。 ➃これで、ソフトウェアが使用できる状態になります。
Hi, I am new to recurrence analysis and JMP.
I did the analysis and use loglinear NHPP model. I have a little trouble understanding the results (in attached image). It seems that the γ and δ values are listed in the Effect Marginals section of the result. If I want to do stats on gamma compared between two groups (AlphaC and Sym 1.0). How do I do that? JMP is not generating a p value so I want to d...
Hi all! I've run a PLS-DA test for a data set that consists of FTIR spectral data of 5 different systems under 5 different treatments. I've used the fit model platform so that I could handle categorical variables in my Y variables. According to PRESS statistics, this model has an optimum number of factors of 7 and possesses good discriminating power between my samples. Then, I noticed that the st...
Hi, all
I am a new member to the community. I am assigned a task to perform recurrence analysis on our data. I never used JMP or did any recurrence analysis. So I will bring some stupid questions for sure.
The data we have are robots repair. We want to see repairs event pattern for the bots and I was told to use recurrence analysis (don't know why).
So we have around 15000 robots, I used the 'bot_id...
Hello, looking for the upper and lower cut off of exponential distribution and Weibull distribution, I could find custom quantile to designate the probability. Have a couple questions. In the old jump version, saw it quantile feature allowing probability number to type, it is the same as custom quantile in JUMP 17. Seems like there is confidence level set as default value of 0.95, having trie...
May I ask a question: Regarding the "Model Sensitivity Profiler" in "Constant Stress ALT Design". The pre-estimated values have been set in the "Acceleration Model settings", and these set values cannot be modified. Besides, the values of "Approx. Fail Time for Setting 1" and "Approx. Fail Time for Setting 2" in the "Model Sensitivity Profiler" are also unchangeable. What is the significance of th...
REGISTER HERE After mastering simple and multiple regression, students can build skills in ad...
German Mastering JMP Webinar Mit dem Vorhersage-Analysediagramm können Sie interaktiv untersu...
French Mastering JMP Le profil de prédiction vous permet d'examiner de manière interactive l'...
EMEA Mastering JMP Prediction profiling lets you interactively examine the impact on your res...