[R-meta] Regplot problem

[John Tully]

Hi again all

this resolved with metafor update but a further problem has come up when I changed the variable for the metaregression

it now fails at X

results_list[['gray_matter']]
Xmetafor::regplot(results_list[['gray_matter']])

with error output:

Studies with NAs omitted from model fitting.NULL
Error in UseMethod("regplot") :
  no applicable method for 'regplot' applied to an object of class "NULL"


many thanks





________________________________
From: Viechtbauer, Wolfgang (SP) <wolfgang.viechtbauer using maastrichtuniversity.nl>
Sent: Tuesday, September 14, 2021 12:27 PM
To: John Tully <mszjt1 using exmail.nottingham.ac.uk>; r-sig-meta-analysis using r-project.org <r-sig-meta-analysis using r-project.org>
Cc: McCutcheon, Robert <robert.mccutcheon using kcl.ac.uk>
Subject: RE: Regplot problem

Ho John,

Which version of metafor do you have installed? regplot() was added in version 3.0-2.

Best,
Wolfgang

>-----Original Message-----
>From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces using r-project.org] On
>Behalf Of John Tully
>Sent: Tuesday, 14 September, 2021 13:10
>To: r-sig-meta-analysis using r-project.org
>Cc: McCutcheon, Robert
>Subject: [R-meta] Regplot problem
>
>​Hi all
>
>I am getting the following error when trying to run a metaregression in R using
>
>can you advise?
>
>thanks
>
>John
>
>'regplot' is not an exported object from 'namespace:metafor'
>
>I do get the output below, before the error shows
>
>Mixed-Effects Model (k = 6; tau^2 estimator: REML)
>
>tau^2 (estimated amount of residual heterogeneity):     0 (SE = 0.0617)
>tau (square root of estimated tau^2 value):             0
>I^2 (residual heterogeneity / unaccounted variability): 0.00%
>H^2 (unaccounted variability / sampling variability):   1.00
>R^2 (amount of heterogeneity accounted for):            0.00%
>
>Test for Residual Heterogeneity:
>QE(df = 4) = 2.7057, p-val = 0.6082
>
>Test of Moderators (coefficient 2):
>QM(df = 1) = 1.1661, p-val = 0.2802
>
>Model Results:
>
>         estimate      se     zval    pval    ci.lb   ci.ub
>intrcpt    1.5938  1.8422   0.8651  0.3870  -2.0169  5.2045
>mods      -1.8265  1.6914  -1.0799  0.2802  -5.1415  1.4886
>
>---
>Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1



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