Pmin example sentences

Related (10): pmid, pmax, pmean, pmedian, pmode, pminimum, pmaximum, pdeviation, pvariance, pnormalization

"Pmin" Example Sentences

1. I need to set the pmin value for this function to work properly.
2. The pmin of the two numbers is 4.
3. The pmin of the data set was much lower than anticipated.
4. By adjusting the pmin, we were able to improve the accuracy of the results.
5. Have you checked to make sure the pmin is set correctly?
6. The pmin for this algorithm should be between 0 and 1.
7. Using a higher pmin threshold will yield fewer results but with greater accuracy.
8. The pmin parameter is critical to the success of this experiment.
9. I was surprised to see the pmin was so low for such a large data set.
10. We need to increase the pmin value to reduce the possibility of false positives.
11. The pmin setting can greatly impact the outcome of the analysis.
12. With a higher pmin value, the algorithm will be less sensitive to outliers.
13. Setting the pmin too high can cause the algorithm to miss important data points.
14. The difference between the pmin and pmax values is significant.
15. It's important to choose the right pmin value for each specific analysis.
16. By adjusting the pmin, we were able to detect a previously unnoticed trend in the data.
17. The pmin setting can impact both the accuracy and computational efficiency of the analysis.
18. The pmin and pmax values need to be carefully chosen to avoid bias in the results.
19. Changing the pmin setting may require re-evaluation of the entire analysis.
20. The pmin threshold can be adjusted based on different criteria, such as sensitivity and specificity.
21. Have you checked to make sure the pmin and pmax values are within the appropriate ranges?
22. Using a lower pmin threshold can increase the number of results, but also increase the possibility of false positives.
23. The pmin value can be adjusted until the desired level of statistical significance is achieved.
24. Setting the pmin too low can lead to inaccurate results and an increased probability of type I errors.
25. The pmin parameter should be chosen based on the specific research question being addressed.
26. The pmin value can be adjusted to reflect the level of confidence desired in the results.
27. By changing the pmin, we were able to better understand the relationship between the variables.
28. The pmin setting is just one of many parameters that need to be adjusted to optimize the analysis.
29. The pmin and pmax values should be chosen based on the distribution of the data.
30. It's important to carefully consider the impact of adjusting the pmin, as it can have significant consequences on the interpretation of the results.

Common Phases

1. pmin is the minimum value of a vector; 2. To find the smallest value of a list, use pmin; 3. Using pmin helps to identify the smallest value in a data set; 4. The pmin function is useful for finding the minimum value within a list or dataset; 5. pmin can be used to compare multiple lists and return the smallest value from each; 6. When looking for the smallest value, remember to use pmin instead of other functions like min or smallest.

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