Running ‘tinytest.R’ [13s/33s]
Running the tests in ‘tests/tinytest.R’ failed.
Complete output:
  > ## Throttle CPU threads if R CMD check (for CRAN)
  > 
  > if (any(grepl("_R_CHECK", names(Sys.getenv()), fixed = TRUE))) {
  +     # fixest
  +     if (requireNamespace("fixest", quietly = TRUE)) {
  +         library(fixest)
  +         setFixest_nthreads(1)
  +     }
  + 
  +     # data.table
  +     if (requireNamespace("data.table", quietly = TRUE)) {
  +         library(data.table)
  +         setDTthreads(1)
  +     }
  + 
  +     # magick
  +     if (requireNamespace("magick", quietly = TRUE)) {
  +         library(magick)
  +         magick:::magick_threads(1)
  +     }
  + }
  Linking to ImageMagick 6.9.13.25
  Enabled features: fontconfig, freetype
  Disabled features: cairo, fftw, ghostscript, heic, lcms, pango, raw, rsvg, webp, x11
  [1] 1
  > 
  > 
  > # Run tinytest suite
  > 
  > if ( requireNamespace("tinytest", quietly=TRUE) ){
  + 
  +   tinytest::test_package("ggfixest")
  + 
  + }
  Loading required package: ggplot2
  
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  test_nthreads.R...............    0 tests    ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_post[[col]], aggr_post_known[[col]], tolerance = tol)
   diff| Expected '0.859857566528126', got '0.861259873207569'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_cum[[col]], aggr_cum_known[[col]], tolerance = tol)
   diff| Expected '4.29928782137735', got '4.3062994999405'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '0.856196388205688', got '0.878957693450153'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.01408092
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_diff[[col]], aggr_diff_known[[col]], tolerance = tol)
   diff| Expected '0.47207477585529', got '0.527379333034877'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '0.856196388205688', got '0.878957693450153'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_post[[col]], aggr_post_known[[col]], tolerance = tol)
   diff| Expected '4.5432572498307', got '4.53585990068435'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_cum[[col]], aggr_cum_known[[col]], tolerance = tol)
   diff| Expected '4.54325726173313', got '4.5358597596436'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '-1.37803746371061', got '-1.34235209274958'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.007275895
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_diff[[col]], aggr_diff_known[[col]], tolerance = tol)
   diff| Expected '10.7746168241598', got '9.64471776495549'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '-0.210081123582062', got '-0.204640906589159'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '0.168191721635732', got '0.179481860308907'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.06712557
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '0.833604357936545', got '0.83785269284703'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_post[[col]], aggr_post_known[[col]], tolerance = tol)
   diff| Expected '17.461901741925', got '17.4112907787669'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_cum[[col]], aggr_cum_known[[col]], tolerance = tol)
   diff| Expected '17.4619018234198', got '17.4112898145223'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '2.57182139671994', got '2.47809005231426'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.007204967
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_diff[[col]], aggr_diff_known[[col]], tolerance = tol)
   diff| Expected '87.5104245518892', got '70.7107655185095'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '0.262565275096028', got '0.255231476237238'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_post[[col]], aggr_post_known[[col]], tolerance = tol)
   diff| Expected '2.22126426072131', got '2.21851579013433'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_cum[[col]], aggr_cum_known[[col]], tolerance = tol)
   diff| Expected '11.1063213256822', got '11.0925786882273'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '-2.85798478381758', got '-2.90259612233785'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.009324175
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_diff[[col]], aggr_diff_known[[col]], tolerance = tol)
   diff| Expected '4.16117526350566', got '4.05278032325274'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '-1.85798478381758', got '-1.90259612233785'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_post[[col]], aggr_post_known[[col]], tolerance = tol)
   diff| Expected '5.59184398518008', got '5.59459245576706'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_cum[[col]], aggr_cum_known[[col]], tolerance = tol)
   diff| Expected '27.9592199038248', got '27.9729625412797'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_pre[[col]], aggr_pre_known[[col]], tolerance = tol)
   diff| Expected '0.498243385335269', got '0.542854723855542'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_both[[col]], aggr_both_known[[col]], tolerance = tol)
   diff| Mean relative difference: 0.00777654
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_diff[[col]], aggr_diff_known[[col]], tolerance = tol)
   diff| Expected '6.01167438087804', got '6.12006932113096'
  ----- FAILED[data]: test_aggr_es.R<96--104>
   call| expect_equivalent(aggr_rhs1[[col]], aggr_rhs1_known[[col]], tolerance = tol)
   diff| Expected '1.49824338533527', got '1.54285472385554'
  ----- FAILED[data]: test_iplot_data.R<69--73>
   call| expect_equivalent(iplot_data_est[[col]], iplot_data_est_known[[col]], 
   call| -->    tolerance = tol)
   diff| Mean relative difference: 0.0226864
  ----- FAILED[data]: test_iplot_data.R<69--73>
   call| expect_equivalent(iplot_data_est_log[[col]], iplot_data_est_log_known[[col]], 
   call| -->    tolerance = tol)
   diff| Mean relative difference: 0.2264364
  ----- FAILED[data]: test_iplot_data.R<69--73>
   call| expect_equivalent(iplot_data_est[[col]], iplot_data_est_known[[col]], 
   call| -->    tolerance = tol)
   diff| Mean relative difference: 0.01597973
  ----- FAILED[data]: test_iplot_data.R<69--73>
   call| expect_equivalent(iplot_data_est_log[[col]], iplot_data_est_log_known[[col]], 
   call| -->    tolerance = tol)
   diff| Mean relative difference: 0.09714743
  Error: 37 out of 70 tests failed
  Execution halted