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< title > Symbol of a p-value — p_symbol • AMR (for R)< / title >
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< h1 > Symbol of a p-value< / h1 >
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< small class = "dont-index" > Source: < a href = 'https://gitlab.com/msberends/AMR/blob/master/R/p_symbol.R' > < code > R/p_symbol.R< / code > < / a > < / small >
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< div class = "hidden name" > < code > p_symbol.Rd< / code > < / div >
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< p > Return the symbol related to the p-value: 0 '< code > ***< / code > ' 0.001 '< code > **< / code > ' 0.01 '< code > *< / code > ' 0.05 '< code > .< / code > ' 0.1 ' ' 1. Values above < code > p = 1< / code > will return < code > NA< / code > .< / p >
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< / div >
< pre class = "usage" > < span class = 'fu' > p_symbol< / span > (< span class = 'no' > p< / span > , < span class = 'kw' > emptychar< / span > < span class = 'kw' > =< / span > < span class = 'st' > " "< / span > )< / pre >
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< h2 class = "hasAnchor" id = "arguments" > < a class = "anchor" href = "#arguments" > < / a > Arguments< / h2 >
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< colgroup > < col class = "name" / > < col class = "desc" / > < / colgroup >
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< th > p< / th >
< td > < p > p value< / p > < / td >
< / tr >
< tr >
< th > emptychar< / th >
< td > < p > text to show when < code > p > 0.1< / code > < / p > < / td >
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< p > Text< / p >
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< h2 class = "hasAnchor" id = "questioning-lifecycle" > < a class = "anchor" href = "#questioning-lifecycle" > < / a > Questioning lifecycle< / h2 >
< p > < img src = 'figures/lifecycle_questioning.svg' style = margin-bottom:5px / > < br / >
The < a href = 'lifecycle.html' > lifecycle< / a > of this function is < strong > questioning< / strong > . We are no longer convinced that this function is the optimal approach (but we do not know yet what a better approach would be), or whether this function should be in our < code > AMR< / code > package at all.< / p >
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< h2 class = "hasAnchor" id = "read-more-on-our-website-" > < a class = "anchor" href = "#read-more-on-our-website-" > < / a > Read more on our website!< / h2 >
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< p > On our website < a href = 'https://msberends.gitlab.io/AMR' > https://msberends.gitlab.io/AMR< / a > you can find < a href = 'https://msberends.gitlab.io/AMR/articles/AMR.html' > a comprehensive tutorial< / a > about how to conduct AMR analysis, the < a href = 'https://msberends.gitlab.io/AMR/reference' > complete documentation of all functions< / a > (which reads a lot easier than here in R) and < a href = 'https://msberends.gitlab.io/AMR/articles/WHONET.html' > an example analysis using WHONET data< / a > .< / p >
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< p > Developed by < a href = 'https://www.rug.nl/staff/m.s.berends/' > Matthijs S. Berends< / a > , < a href = 'https://www.rug.nl/staff/c.f.luz/' > Christian F. Luz< / a > , < a href = 'https://www.rug.nl/staff/a.w.friedrich/' > Alexander W. Friedrich< / a > , < a href = 'https://www.rug.nl/staff/b.sinha/' > Bhanu N. M. Sinha< / a > , < a href = 'https://www.rug.nl/staff/c.j.albers/' > Casper J. Albers< / a > , < a href = 'https://www.rug.nl/staff/c.glasner/' > Corinna Glasner< / a > .< / p >
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