Your dissertation advisor would probably be the best place to start. Chris Ryan -- Sent from my Android device with K-9 Mail. Please excuse my brevity.
On April 3, 2019 7:31:59 PM EDT, Matty A <matir...@gmail.com> wrote: >Message rejected by filter rule match > > > > >---------- Forwarded message ---------- >From: matty <matir...@gmail.com> >To: r-help@r-project.org >Cc: >Bcc: >Date: Wed, 3 Apr 2019 18:21:28 -0500 (CDT) >Subject: res intepretation help >Hi.. im a complete novice and am using R for my dissertation which is a >meta-analysis... im using res would like some advice on >understanding my results and what I can do with them.. the original >data is >h' values (linearity of social hierarchies) i have 11 >samples with 2 h' values that i am looking at my each res code has only >one >h' value the h' value is places where r would be in the code... below >is a >few of mu outputs.... thank you > > >> res(1, var.r=NULL, 6, level=95, dig = 4, verbose = TRUE, id=NULL, >data = >> NULL) – >Bonanni et al 2017 La Rustica Free-ranging submission >Mean Differences ES: > > d [ 95 %CI] = Inf [ NaN , NaN ] > var(d) = NaN > p-value(d) = NaN > U3(d) = 100 % > CLES(d) = 100 % > Cliff's Delta = 1 > > Correlation ES: > > r [ 95 %CI] = 1 [ NaN , NaN ] > var(r) = 0 > p-value(r) = 0 > > z [ 95 %CI] = Inf [ Inf , Inf ] > var(z) = 0.3333 > p-value(z) = 0 > > Odds Ratio ES: > > OR [ 95 %CI] = Inf [ NaN , NaN ] > p-value(OR) = NaN > > Log OR [ 95 %CI] = Inf [ NaN , NaN ] > var(lOR) = NaN > p-value(Log OR) = NaN > > Other: > > NNT = 1.25 > Total N = 6 >> res(0.860, var.r=NULL, 6, level=95, dig = 4, verbose = TRUE, id=NULL, >data >> = NULL) – >Bonanni et al 2017 La Rustica Free-ranging aggression >Mean Differences ES: > > d [ 95 %CI] = 3.3706 [ -1.135 , 7.8762 ] > var(d) = 3.0722 > p-value(d) = 0.1125 > U3(d) = 99.9625 % > CLES(d) = 99.1423 % > Cliff's Delta = 0.9828 > > Correlation ES: > > r [ 95 %CI] = 0.86 [ -0.1885 , 0.9923 ] > var(r) = 0.0136 > p-value(r) = 0.0752 > > z [ 95 %CI] = 1.2933 [ -0.1908 , 2.7775 ] > var(z) = 0.3333 > p-value(z) = 0.0752 > > Odds Ratio ES: > > OR [ 95 %CI] = 451.964 [ 0.1276 , 1600648 ] > p-value(OR) = 0.1125 > > Log OR [ 95 %CI] = 6.1136 [ -2.0587 , 14.2859 ] > var(lOR) = 10.1071 > p-value(Log OR) = 0.1125 > > Other: > > NNT = 1.259 > Total N = > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
