Merge branch 'main' of https://github.com/forrtproject/FReD

inst/fred_explorer/website_text.R

@@ -106,7 +106,7 @@ zcurve_title <- HTML(paste("
                            , sep = ""))
 
 zcurve_explanation <- HTML(paste("
-                                 <h5><i>Note. </i>Z-curve (<a href='http://dx.doi.org/10.15626/MP.2021.2720'>Bartos & Schimmack, 2020</a>) can be used to estimate replicability of a set of studies. Note that it assumes that observations are independent, which is not the case here, and that it uses only significant results. We recommend not using z-curve on less than 200 tests.<br/>Observed discovery rate refers to the proportion of significant (p < .05) studies. Expected discovery rate is the proportion of studies that you would expect to be significant if you ran replications of <i>all</i> studies with the same sample size. Expected replicability rate is the proportion of studies that you would expect to be significant if you ran perfect and high powered replications of <i>all significant</i> studies. You can compare the discovery and replicability rates with the actual replicability presented at the top of this page. We recommend running bootstraps to get confidence intervals for z-curve's estimates but refrain from doing so as it takes much time."
+                                 <h5><i>Note. </i>Z-curve (<a href='http://dx.doi.org/10.15626/MP.2021.2720'>Bartos & Schimmack, 2020</a>) can be used to estimate replicability of a set of studies. Note that it assumes that observations are independent, which is not the case here, and that it uses only significant results. We recommend not using z-curve on less than 200 tests.<br/>Observed discovery rate refers to the proportion of significant (p < .05) studies. Expected discovery rate is the proportion of studies that you would expect to be significant if you ran replications of <i>all</i> studies with the same sample size. Expected replicability rate is the proportion of studies that you would expect to be significant if you ran replications of <i>all significant</i> studies with the same sample size. You can compare the discovery and replicability rates with the actual replicability presented at the top of this page. We recommend running bootstraps to get confidence intervals for z-curve's estimates but refrain from doing so as it takes much time."
                                  , "<br/><br/>"
                                  , sep = ""))