normplot function Search Results


normplot function  (MathWorks Inc)
90
MathWorks Inc normplot function
Normplot Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/normplot function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
normplot function - by Bioz Stars, 2026-04
90/100 stars
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normplot  (MathWorks Inc)
90
MathWorks Inc normplot
The function <t>normplot</t> in MATLAB v.2019b was used to assess the fit of the data (blue crosses) to a normal distribution (solid red line). For each plot, one data point is the Tx result for one experiment for one participant at the specified dilution. The number of total experiments per viral variant was n = 42 for first-wave plasma and n = 21 for second-wave plasma. Lack of pronounced curvature of the data in the range of the solid line indicates that the data are a reasonably good fit to a normal distribution. See https://www.mathworks.com/help/stats/normplot.html for additional information.
Normplot, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/normplot/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
normplot - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
normplot functionality of  (MathWorks Inc)
90
MathWorks Inc normplot functionality of
The function <t>normplot</t> in MATLAB v.2019b was used to assess the fit of the data (blue crosses) to a normal distribution (solid red line). For each plot, one data point is the Tx result for one experiment for one participant at the specified dilution. The number of total experiments per viral variant was n = 42 for first-wave plasma and n = 21 for second-wave plasma. Lack of pronounced curvature of the data in the range of the solid line indicates that the data are a reasonably good fit to a normal distribution. See https://www.mathworks.com/help/stats/normplot.html for additional information.
Normplot Functionality Of, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/normplot functionality of/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
normplot functionality of - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


The function normplot in MATLAB v.2019b was used to assess the fit of the data (blue crosses) to a normal distribution (solid red line). For each plot, one data point is the Tx result for one experiment for one participant at the specified dilution. The number of total experiments per viral variant was n = 42 for first-wave plasma and n = 21 for second-wave plasma. Lack of pronounced curvature of the data in the range of the solid line indicates that the data are a reasonably good fit to a normal distribution. See https://www.mathworks.com/help/stats/normplot.html for additional information.

Journal: Nature

Article Title: Escape of SARS-CoV-2 501Y.V2 from neutralization by convalescent plasma

doi: 10.1038/s41586-021-03471-w

Figure Lengend Snippet: The function normplot in MATLAB v.2019b was used to assess the fit of the data (blue crosses) to a normal distribution (solid red line). For each plot, one data point is the Tx result for one experiment for one participant at the specified dilution. The number of total experiments per viral variant was n = 42 for first-wave plasma and n = 21 for second-wave plasma. Lack of pronounced curvature of the data in the range of the solid line indicates that the data are a reasonably good fit to a normal distribution. See https://www.mathworks.com/help/stats/normplot.html for additional information.

Article Snippet: Data were fitted to a normal distribution using the function normplot in MATLAB v.2019b, which compared the distribution of the Tx data to the normal distribution (see https://www.mathworks.com/help/stats/normplot.html ).

Techniques: Variant Assay