Error(s) in re-building vignettes:
--- re-building ‘my-vignette.Rmd’ using rmarkdown
Loading required package: gamlss
Loading required package: splines
Loading required package: gamlss.data

Attaching package: 'gamlss.data'

The following object is masked from 'package:datasets':

    sleep

Loading required package: gamlss.dist
Loading required package: MASS
Loading required package: nlme
Loading required package: parallel
 **********   GAMLSS Version 5.1-6  ********** 
For more on GAMLSS look at http://www.gamlss.org/
Type gamlssNews() to see new features/changes/bug fixes.

Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(taxname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(taxname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(taxname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(taxname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(taxname[i],  :
  summary: vcov has failed, option qr is used instead

boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in RS() : Algorithm RS has not yet converged
Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in summary.gamlss(gamlss::gamlss(stats::as.formula(paste(pathname[i],  :
  summary: vcov has failed, option qr is used instead

Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], method = method.tau, control = control) :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in rma.uni(yi = TE[sel], sei = seTE[sel], weights = 1/seTE[sel],  :
  Ratio of largest to smallest sampling variance extremely large. May not be able to obtain stable results.
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in lapply(dat.a[, -c(1:3)], as.numeric) :
  NAs introduced by coercion
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
Warning in mean.default(X[[i]], ...) :
  argument is not numeric or logical: returning NA
dyld: lazy symbol binding failed: Symbol not found: ____chkstk_darwin
  Referenced from: /usr/local/bin/pandoc (which was built for Mac OS X 10.15)
  Expected in: /usr/lib/libSystem.B.dylib

dyld: Symbol not found: ____chkstk_darwin
  Referenced from: /usr/local/bin/pandoc (which was built for Mac OS X 10.15)
  Expected in: /usr/lib/libSystem.B.dylib

Error: processing vignette 'my-vignette.Rmd' failed with diagnostics:
pandoc document conversion failed with error 6
--- failed re-building ‘my-vignette.Rmd’

SUMMARY: processing the following file failed:
  ‘my-vignette.Rmd’

Error: Vignette re-building failed.
Execution halted