Error(s) in re-building vignettes:
--- re-building ‘tidyMicro_vignette.Rmd’ using rmarkdown
PCA plot created
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: glm.fit: algorithm did not converge
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: glm.fit: algorithm did not converge
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: step size truncated due to divergence
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in MASS::glm.nb(stats::as.formula(.f), data = set) :
  alternation limit reached
Waiting for profiling to be done...
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in MASS::glm.nb(stats::as.formula(.f), data = set) :
  alternation limit reached
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: Maximum column sum is 108 and will be rescaled to equal 100.
Warning: Minimum column sum is 86 and will be rescaled to equal 100.
Warning: Maximum column sum is 108 and will be rescaled to equal 100.
Warning: Minimum column sum is 86 and will be rescaled to equal 100.
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: glm.fit: algorithm did not converge
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: glm.fit: algorithm did not converge
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning: step size truncated due to divergence
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in MASS::glm.nb(stats::as.formula(.f), data = set) :
  alternation limit reached
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning in stri_detect_regex(string, pattern, negate = negate, opts_regex = opts(pattern)) :
  longer object length is not a multiple of shorter object length
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
Warning in sqrt(1/i) : NaNs produced
Warning in MASS::glm.nb(stats::as.formula(.f), data = set) :
  alternation limit reached
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Waiting for profiling to be done...
Warning: glm.fit: algorithm did not converge
Warning: glm.fit: algorithm did not converge
Warning: Removed 10 rows containing missing values (geom_point).
Running Kruskal-Wallis rank sum test.
Running Kruskal-Wallis rank sum test.
Warning in stats::chisq.test(x = grp, y = rsp, ...) :
  Chi-squared approximation may be incorrect
Warning in stats::chisq.test(x = grp, y = rsp, ...) :
  Chi-squared approximation may be incorrect
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 'tidyMicro_vignette.Rmd' failed with diagnostics:
pandoc document conversion failed with error 6
--- failed re-building ‘tidyMicro_vignette.Rmd’

SUMMARY: processing the following file failed:
  ‘tidyMicro_vignette.Rmd’

Error: Vignette re-building failed.
Execution halted