Sample size calculation for a new lot of materials
Hi,I'm looking to qualify new lot of the controls for an assay and was wondering what the best way is to accomplish in JMP (or to determine the sample size/number of experiments) in JMP.Thank you
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view all learning resourcesHi,I'm looking to qualify new lot of the controls for an assay and was wondering what the best way is to accomplish in JMP (or to determine the sample size/number of experiments) in JMP.Thank you
I have a data table with approximately 100,000 rows and 2000 columns. Dozens of these columns contain formulas. When I make a change somewhere I notice the status bar says "evaluating ##column_xyz" and it proceeds to evaluate every formula in the data table. Since this is a rather large table and there are many formulas, it takes up to 60 seconds to evaluate all of them. Consequently, I am ver...
JMP 17.2We analyze data distributions from our devices and may see outliers below the 1st quartile and above the 3rd quartile. We wish to improve the manufacturing process to reduce the number of outliers. Is there a function or application that counts the outliers? For example, the output I wish to see is as follows:TestDistributionNo. of outliers below 1st quartileNo. of outliers above 3rd quart...
When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.
OS:windows 10Python Version : 3.9
File list jmp_score.py
CNN_NTanH_boost.py <- JMP Python
mypython_code.py
import CNN_NTanH_boost
import numpy as np
import pandas as pdfilepath = r"filepath"
ext = 'csv'
if filepath.endswith(ext):
df=pd.read_csv(filepath)
else :
df=pd....
Hi, I am hoping to get returned numbers only, though am getting results like: - {1.6853394618}Can anyone help re-write this: - {1.6853394618, 1.1953542099, 0.5582366613, 0.4790270411, 0.4159308661, 0.4145532579, 0.3847474328, 0.1964273334, 0.1680691329, 0.1715601671,
0.2542918024, 0.1972811076, 0.2371273713}[Loc Sorted( [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], :Age )] JMP 17.2.0
When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.
OS:windows 10Python Version : 3.9
File list jmp_score.py
CNN_NTanH_boost.py <- JMP Python
mypython_code.py
import CNN_NTanH_boost
import numpy as np
import pandas as pdfilepath = r"filepath"
ext = 'csv'
if filepath.endswith(ext):
df=pd.read_csv(filepath)
else :
df=pd....
Hi, I am hoping to get returned numbers only, though am getting results like: - {1.6853394618}Can anyone help re-write this: - {1.6853394618, 1.1953542099, 0.5582366613, 0.4790270411, 0.4159308661, 0.4145532579, 0.3847474328, 0.1964273334, 0.1680691329, 0.1715601671,
0.2542918024, 0.1972811076, 0.2371273713}[Loc Sorted( [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], :Age )] JMP 17.2.0
Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example:
Hi All, I am planning an experiment to understand the lifetime of a product. Samples will be cut-out from the product. A batch of product is 15000 and I will cut smaller pieces suitable for bending test. Samples will be stored in different chemicals and there will at least 5 time-periods. I take out after each t1, t2, ... samples out of the solution an test. By this my goal is to fit the degradati...
Hello,Is there a way to plot density contours on a ternary diagram in JMP17?If not, is there a way to do this by using a custom Contour Formula in the ternary plot platform? What would be this formula? Thanks
When the neural network created by JMP was saved and run in python code, it output values different from the score output by JMP.
OS:windows 10Python Version : 3.9
File list jmp_score.py
CNN_NTanH_boost.py <- JMP Python
mypython_code.py
import CNN_NTanH_boost
import numpy as np
import pandas as pdfilepath = r"filepath"
ext = 'csv'
if filepath.endswith(ext):
df=pd.read_csv(filepath)
else :
df=pd....
Hello community!!,A question: will it be possible for the profiler to find the best combinations of factors with uncertainty when performing a simulation, which maximize the total utility and minimize the total cost, generating a table of the best combinations found? For example:
Hi there,I have a question concerning the choice platform. I have conducted a discrete choice experiment and analysed it using JMP. I have the choice profiles dataset, and the choices run (or responses) on another. I have done my analysis, and it bears interesting results.A colleague suggested performing a random parameters logit analysis. Is it possible to do it in JMP? How does it differ from th...
Definitely, JMP is Not a Spreadsheet . And that's great!!
Besides this difference, there are other places where Jmp doesn't do/behave/produce what a newbie / innocent Jmp user expects.
If a user knows these issues and the remedies and workarounds - he/she can
a) save a lot of time
b) be safe from data loss
c) be sure that the results are as expected.
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