Package evaluation of Kezdi on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T17:54:39.498 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.0s ################################################################################ # Installation # Installing Kezdi... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [48308a23] + Kezdi v0.5.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [6e4b80f9] + BenchmarkTools v1.6.0 [fa961155] + CEnum v0.5.0 [336ed68f] + CSV v0.10.15 [324d7699] + CategoricalArrays v0.10.8 [944b1d66] + CodecZlib v0.7.8 [861a8166] + Combinatorics v1.0.2 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [ffbed154] + DocStringExtensions v0.9.4 [e2ba6199] + ExprTools v0.1.10 [6b7a57c9] + Expronicon v0.10.14 [5789e2e9] + FileIO v1.17.0 [48062228] + FilePathsBase v0.9.24 [9d5cd8c9] + FixedEffectModels v1.11.0 [c8885935] + FixedEffects v2.4.0 [da1fdf0e] + FreqTables v0.4.6 [6407cd72] + GroupedArrays v0.3.3 [34004b35] + HypergeometricFunctions v0.3.28 [842dd82b] + InlineStrings v1.4.3 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [48308a23] + Kezdi v0.5.4 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [d8e11817] + MLStyle v0.4.17 [dbb5928d] + MappedArrays v0.4.2 [e1d29d7a] + Missings v1.2.0 [78c3b35d] + Mocking v0.8.1 [86f7a689] + NamedArrays v0.10.3 [bac558e1] + OrderedCollections v1.8.0 [69de0a69] + Parsers v2.8.1 [2dfb63ee] + PooledArrays v1.4.3 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [43287f4e] + PtrArrays v1.3.0 ⌅ [df47a6cb] + RData v0.8.3 [ce6b1742] + RDatasets v0.7.7 [52522f7a] + ReadStatTables v0.3.2 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [6c6a2e73] + Scratch v1.2.1 [91c51154] + SentinelArrays v1.4.8 [1277b4bf] + ShiftedArrays v2.0.0 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.4.0 [3eaba693] + StatsModels v0.7.4 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [dc5dba14] + TZJData v1.5.0+2025b [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [f269a46b] + TimeZones v1.21.3 [3bb67fe8] + TranscodingStreams v0.11.3 [ec2bfdc2] + Vcov v0.8.1 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [94ce4f54] + Libiconv_jll v1.18.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [a4dc8951] + ReadStat_jll v1.1.9+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.55s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 261.74s ################################################################################ # Testing # Testing Kezdi Status `/tmp/jl_6Teir1/Project.toml` [6e4b80f9] BenchmarkTools v1.6.0 [336ed68f] CSV v0.10.15 [a8cc5b0e] Crayons v4.1.1 [a93c6f00] DataFrames v1.7.0 [6b7a57c9] Expronicon v0.10.14 [9d5cd8c9] FixedEffectModels v1.11.0 [da1fdf0e] FreqTables v0.4.6 [48308a23] Kezdi v0.5.4 [e1d29d7a] Missings v1.2.0 [ce6b1742] RDatasets v0.7.7 [52522f7a] ReadStatTables v0.3.2 [189a3867] Reexport v1.2.2 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.4 [ade2ca70] Dates v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [56ddb016] Logging v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_6Teir1/Manifest.toml` [66dad0bd] AliasTables v1.1.3 [6e4b80f9] BenchmarkTools v1.6.0 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.2 [34da2185] Compat v4.16.0 [187b0558] ConstructionBase v1.5.8 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [ffbed154] DocStringExtensions v0.9.4 [e2ba6199] ExprTools v0.1.10 [6b7a57c9] Expronicon v0.10.14 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [9d5cd8c9] FixedEffectModels v1.11.0 [c8885935] FixedEffects v2.4.0 [da1fdf0e] FreqTables v0.4.6 [6407cd72] GroupedArrays v0.3.3 [34004b35] HypergeometricFunctions v0.3.28 [842dd82b] InlineStrings v1.4.3 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [48308a23] Kezdi v0.5.4 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [d8e11817] MLStyle v0.4.17 [dbb5928d] MappedArrays v0.4.2 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [86f7a689] NamedArrays v0.10.3 [bac558e1] OrderedCollections v1.8.0 [69de0a69] Parsers v2.8.1 [2dfb63ee] PooledArrays v1.4.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 ⌅ [df47a6cb] RData v0.8.3 [ce6b1742] RDatasets v0.7.7 [52522f7a] ReadStatTables v0.3.2 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [6c6a2e73] Scratch v1.2.1 [91c51154] SentinelArrays v1.4.8 [1277b4bf] ShiftedArrays v2.0.0 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [3eaba693] StatsModels v0.7.4 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [f269a46b] TimeZones v1.21.3 [3bb67fe8] TranscodingStreams v0.11.3 [ec2bfdc2] Vcov v0.8.1 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [94ce4f54] Libiconv_jll v1.18.0+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [a4dc8951] ReadStat_jll v1.1.9+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [f489334b] StyledStrings v1.11.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling CategoricalArraysJSONExt... 1562.2 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 1 dependency successfully precompiled in 2 seconds. 16 already precompiled. Kezdi.jl> @generate y = 4.0 Kezdi.jl> @generate y = x Kezdi.jl> @generate y = x + z Kezdi.jl> @generate y = log(z) Kezdi.jl> @generate y = 4.0 Kezdi.jl> @generate y = sum(x) Kezdi.jl> @generate y = sum.(x) Kezdi.jl> @generate y = missing Kezdi.jl> @generate y = nothing Kezdi.jl> @generate y = s isa String Kezdi.jl> @generate y = s isa Missing Kezdi.jl> @generate y = "string" @if s isa String Kezdi.jl> @generate y = _n Kezdi.jl> @generate y = _N Kezdi.jl> @generate y = -x @if _n < 3 Kezdi.jl> @generate y = -x @if _n < _N Kezdi.jl> @generate z = 9 @if _n >= 2 Kezdi.jl> @generate z = _n Kezdi.jl> @generate z = _n @if _n >= 2 Kezdi.jl> @generate x1 = getindex(x, 1) Kezdi.jl> @generate x2 = getindex(x, 2) Kezdi.jl> @generate n_terms = length.(split.(text, ",")) Kezdi.jl> @replace x = 4.0 Kezdi.jl> @replace z = 4.0 Kezdi.jl> @replace x = log(z) Kezdi.jl> @replace x = 4.0 Kezdi.jl> @replace z = sum(x) Kezdi.jl> @replace z = sum.(x) Kezdi.jl> @replace x = 4.0 Kezdi.jl> @replace x = log(z) Kezdi.jl> @replace x = 4.0 Kezdi.jl> @replace x = 4 Kezdi.jl> @replace x = 1.1 @if _n == 1 Kezdi.jl> @replace x = missing @if _n == 1 Kezdi.jl> @replace x = "a" @if _n == 1 Kezdi.jl> @replace x = 1 @if _n == 1 Kezdi.jl> @replace x = 1 @if _n == 1 Kezdi.jl> @replace x = 1.1 @if _n == 1 Kezdi.jl> @replace y = 0 @if positive(x - 2) Kezdi.jl> @replace x = 1.1 @if _n == 1 Kezdi.jl> @generate y = ismissing(x) Kezdi.jl> @generate y = 4 @if ismissing(x) Kezdi.jl> @replace x = 2 @if ismissing(x) Kezdi.jl> @replace s = "string" Kezdi.jl> @replace s = "string" @if s == "a" Kezdi.jl> @collapse y = sum(x) Kezdi.jl> @collapse y = minimum(x) Kezdi.jl> @collapse y = sum(x) z = minimum(x) Kezdi.jl> @collapse y = sum(x) Kezdi.jl> @collapse y = mean(x) Kezdi.jl> @collapse y = sum(x) Kezdi.jl> @collapse y = sum.(x) Kezdi.jl> @collapse y = minimum.(x) Kezdi.jl> @collapse y = sum.(x) z = minimum(x) Kezdi.jl> @collapse y = sum(x), by(group) Kezdi.jl> @collapse y = minimum(x), by(group) Kezdi.jl> @collapse y = sum(x), by(group, s) Kezdi.jl> @collapse y = minimum(x), by(group, s) Kezdi.jl> @collapse y = rowcount(x) Kezdi.jl> @collapse y = rowcount(distinct(x)) Kezdi.jl> @egen y = sum(x) Kezdi.jl> @egen y = sum(x) Kezdi.jl> @egen y = minimum(x) Kezdi.jl> @egen y = maximum(x) Kezdi.jl> @egen y = sum.(x) Kezdi.jl> @egen y = minimum.(x) Kezdi.jl> @egen y = maximum.(x) Kezdi.jl> @egen y = sum(x) Kezdi.jl> @egen y = mean(x) Kezdi.jl> @egen y = missing Kezdi.jl> @egen y = nothing Kezdi.jl> @egen y = s isa String Kezdi.jl> @egen y = s isa Missing Kezdi.jl> @egen y = "string" @if s isa String Kezdi.jl> @egen y = sum(x), by(group) Kezdi.jl> @egen y = minimum(x), by(group) Kezdi.jl> @egen y = maximum(x), by(group) Kezdi.jl> @egen y = sum(x), by(group, s) Kezdi.jl> @egen y = minimum(x), by(group, s) Kezdi.jl> @egen y = maximum(x), by(group, s) Kezdi.jl> @egen z = 9 @if _n >= 2, by(g) Kezdi.jl> @egen z = _n, by(g) Kezdi.jl> @egen z = _N, by(g) Kezdi.jl> @egen z = _n @if _n >= 2, by(g) Kezdi.jl> @egen z = maximum(cond(_n == 1, x, 0)), by(g) Kezdi.jl> @egen z = minimum(cond(_n == 1, x, 0)), by(g) Kezdi.jl> @keep a Kezdi.jl> @keep a Kezdi.jl> @keep a @if a < 3 Kezdi.jl> @keep a @if a < 3 Kezdi.jl> @keep a @if b > 6 Kezdi.jl> @keep a @if !(ismissing(b)) Kezdi.jl> @keep a @if b > 6 Kezdi.jl> @drop b Kezdi.jl> @drop b Kezdi.jl> @drop @if a < 3 Kezdi.jl> @generate y = x @if true Kezdi.jl> @generate y = x @if 2 < 4 Kezdi.jl> @generate y = x @if 2 + 2 == 4 Kezdi.jl> @generate y = x @if 2 + 2 == 5 || 2 + 2 == 4 Kezdi.jl> @generate y = x @if x < 6 || 2 + 2 == 5 Kezdi.jl> @generate y = x @if 2 + 2 == 5 || x < 6 Kezdi.jl> @generate y = x @if 2 + 2 == 4 && x < 6 Kezdi.jl> @generate y = x @if x < 6 && 2 + 2 == 4 Kezdi.jl> @generate y = x @if false Kezdi.jl> @generate y = x @if 1 == 0 Kezdi.jl> @generate y = x @if 1 < 0 Kezdi.jl> @generate y = x @if 2 + 2 == 5 && x < 6 Kezdi.jl> @generate y = x @if x < 6 && 2 + 2 == 5 Kezdi.jl> @generate y = x @if 2 + 2 == 4 && 2 + 2 == 5 Kezdi.jl> @generate y = x @if 2 + 2 == 5 && 2 + 2 == 4 Kezdi.jl> @generate y = x @if 2 + 2 == 3 || 2 + 2 == 5 Kezdi.jl> @generate y = x @if x > 6 || 2 + 2 == 5 Kezdi.jl> @generate y = x @if 2 + 2 == 5 || x > 6 Kezdi.jl> @generate y = x @if x < 3 Kezdi.jl> @generate y = x @if z < 3 Kezdi.jl> @generate y = sum(x) @if x < 3 Kezdi.jl> @generate y = cond(x <= 2, 1, 0) Kezdi.jl> @generate y = sum(x) @if group in [["red", "blue"]] Kezdi.jl> @generate y = sum(x) @if group in [["green", "yellow"]] Kezdi.jl> @generate y = sum(x) @if z == 4 && group in [["blue"]] Kezdi.jl> @generate y = sum(x) @if x == 4 && (group in [["blue"]] && z > 2) Kezdi.jl> @generate y = sum(x) @if x == 4 && (group in [["blue"]] && (z > 2 && z < 5)) Kezdi.jl> @generate y = sum(x) @if x == 4 && (group in [["blue"]] && (z > 2 && z < 5)) || z < 0 Kezdi.jl> @egen y = sum(x) @if true Kezdi.jl> @egen y = sum(x) @if 2 < 4 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 4 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 4 || 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 5 || 2 + 2 == 4 Kezdi.jl> @egen y = sum(x) @if x < 6 || 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 5 || x < 6 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 4 && x < 6 Kezdi.jl> @egen y = sum(x) @if x < 6 && 2 + 2 == 4 Kezdi.jl> @egen y = sum(x) @if false Kezdi.jl> @egen y = sum(x) @if 2 > 4 Kezdi.jl> @egen y = sum(x) @if 2 + 2 != 4 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 5 && x < 6 Kezdi.jl> @egen y = sum(x) @if x < 6 && 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 4 && 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 5 && 2 + 2 == 4 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 3 || 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if x > 6 || 2 + 2 == 5 Kezdi.jl> @egen y = sum(x) @if 2 + 2 == 5 || x > 6 Kezdi.jl> @egen y = sum(x) @if x < 3 Kezdi.jl> @egen y = sum(x) @if group in [["blue"]] Kezdi.jl> @egen y = sum(x) @if z < 3 Kezdi.jl> @egen y = sum(x) @if x < 3 Kezdi.jl> @egen y = sum(x) @if z == 4 && x > 2 Kezdi.jl> @egen y = sum(x) @if z == 4 && (x > 2 && !(ismissing(x))) Kezdi.jl> @summarize x Summarize x: N = 1000 sum_w = 1000.0 mean = 500.5 Var = 83416.66666666667 sd = 288.8194360957494 skewness = 0.0 kurtosis = 1.7999975999976 sum = 500500.0 min = 1.0 max = 1000.0 p1 = 10.5 p5 = 50.5 p10 = 100.5 p25 = 250.5 p50 = 500.5 p75 = 750.5 p90 = 900.5 p95 = 950.5 p99 = 990.5 Kezdi.jl> @summarize x Summarize x: N = 11 sum_w = 11.0 mean = 6.0 Var = 11.0 sd = 3.3166247903554 skewness = 0.0 kurtosis = 1.78 sum = 66.0 min = 1.0 max = 11.0 p1 = 1.0 p5 = 1.05 p10 = 1.6 p25 = 3.25 p50 = 6.0 p75 = 8.75 p90 = 10.4 p95 = 10.95 p99 = 11.0 Kezdi.jl> @summarize x @if x < 5 Summarize x: N = 4 sum_w = 4.0 mean = 2.5 Var = 1.6666666666666667 sd = 1.2909944487358056 skewness = 0.0 kurtosis = 1.64 sum = 10.0 min = 1.0 max = 4.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.5 p50 = 2.5 p75 = 3.5 p90 = 4.0 p95 = 4.0 p99 = 4.0 Kezdi.jl> @summarize x Summarize x: N = 2 sum_w = 2.0 mean = 2.0 Var = 2.0 sd = 1.4142135623730951 skewness = 0.0 kurtosis = 1.0 sum = 4.0 min = 1.0 max = 3.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.0 p50 = 2.0 p75 = 3.0 p90 = 3.0 p95 = 3.0 p99 = 3.0 Kezdi.jl> @summarize x Summarize x: N = 2 sum_w = 2.0 mean = 2.0 Var = 2.0 sd = 1.4142135623730951 skewness = 0.0 kurtosis = 1.0 sum = 4.0 min = 1.0 max = 3.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.0 p50 = 2.0 p75 = 3.0 p90 = 3.0 p95 = 3.0 p99 = 3.0 Kezdi.jl> @summarize x Summarize x: N = 2 sum_w = 2.0 mean = 2.0 Var = 2.0 sd = 1.4142135623730951 skewness = 0.0 kurtosis = 1.0 sum = 4.0 min = 1.0 max = 3.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.0 p50 = 2.0 p75 = 3.0 p90 = 3.0 p95 = 3.0 p99 = 3.0 Kezdi.jl> @summarize x @if z Summarize x: N = 2 sum_w = 2.0 mean = 2.0 Var = 2.0 sd = 1.4142135623730951 skewness = 0.0 kurtosis = 1.0 sum = 4.0 min = 1.0 max = 3.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.0 p50 = 2.0 p75 = 3.0 p90 = 3.0 p95 = 3.0 p99 = 3.0 Kezdi.jl> @regress y 1 Kezdi.jl> @regress y x Kezdi.jl> @regress y -x Kezdi.jl> @regress y x / 10 Kezdi.jl> @regress -y x / 10 Kezdi.jl> @regress -y -x / 10 Kezdi.jl> @regress y x @if x < 5 Kezdi.jl> @regress y x @if x < 5 || x > 8 Kezdi.jl> @regress y x z fe(s) Demean Variables: [===========> ] 1/3 [?25h FixedEffectModel ==================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 5 R²: 1.000 R² adjusted: 1.000 F-statistic: 3.27883e31 P-value: 0.000 R² within: 1.000 Iterations: 1 ==================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ──────────────────────────────────────────────────────────────────── x 3.0 5.0634e-16 5.92488e15 <1e-99 3.0 3.0 z 1.0 5.18844e-16 1.92736e15 <1e-99 1.0 1.0 ==================================================================== Kezdi.jl> @regress y x z FixedEffectModel ============================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 6 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.16986e32 P-value: 0.000 ============================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────── x 3.0 1.5013e-16 1.99827e16 <1e-99 3.0 3.0 z 1.0 4.31214e-16 2.31903e15 <1e-99 1.0 1.0 (Intercept) 2.0 9.285e-16 2.15401e15 <1e-99 2.0 2.0 ============================================================================== Kezdi.jl> @regress y x z z * x fe(s) FixedEffectModel ============================================================================= Number of obs: 10 Converged: true dof (model): 3 dof (residuals): 5 R²: 1.000 R² adjusted: 1.000 F-statistic: 1.74871e31 P-value: 0.000 R² within: 1.000 Iterations: 1 ============================================================================= Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ───────────────────────────────────────────────────────────────────────────── x 3.0 5.66105e-16 5.29937e15 <1e-99 3.0 3.0 z 1.0 1.14277e-15 8.75063e14 <1e-99 1.0 1.0 z & x 0.0 1.79018e-16 0.0 1.0000 -4.60181e-16 4.60181e-16 ============================================================================= Kezdi.jl> @regress y x z z * x FixedEffectModel ======================================================================================== Number of obs: 10 Converged: true dof (model): 3 dof (residuals): 5 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.2043e32 P-value: 0.000 ======================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ──────────────────────────────────────────────────────────────────────────────────────── x 3.0 1.21619e-16 2.46672e16 <1e-99 3.0 3.0 z 1.0 7.54625e-16 1.32516e15 <1e-99 1.0 1.0 z & x -8.88178e-17 1.21619e-16 -0.730297 0.4980 -4.01449e-16 2.23813e-16 (Intercept) 2.0 7.54625e-16 2.65032e15 <1e-99 2.0 2.0 ======================================================================================== Kezdi.jl> @regress y x z fe(s) @if x < 5 FixedEffectModel ==================================================================== Number of obs: 4 Converged: true dof (model): 2 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: 1.54653e31 P-value: 0.000 R² within: 1.000 Iterations: 1 ==================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ──────────────────────────────────────────────────────────────────── x 3.0 7.02167e-16 4.27249e15 <1e-99 3.0 3.0 z 1.0 7.85046e-16 1.27381e15 <1e-99 1.0 1.0 ==================================================================== Kezdi.jl> @regress y x z @if x < 5 FixedEffectModel ============================================================================== Number of obs: 4 Converged: true dof (model): 2 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: 4.83292e30 P-value: 0.000 ============================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────── x 3.0 1.25607e-15 2.38839e15 <1e-99 3.0 3.0 z 1.0 1.40433e-15 7.12082e14 <1e-99 1.0 1.0 (Intercept) 2.0 3.38208e-15 5.91352e14 <1e-99 2.0 2.0 ============================================================================== Kezdi.jl> @regress y x z z * x fe(s) @if x < 5 FixedEffectModel ====================================================================== Number of obs: 4 Converged: true dof (model): 3 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: 0.0 P-value: 1.000 R² within: 1.000 Iterations: 1 ====================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────── x 3.0 Inf 0.0 1.0000 -Inf Inf z 1.0 Inf 0.0 1.0000 -Inf Inf z & x 4.44089e-16 Inf 0.0 1.0000 -Inf Inf ====================================================================== Kezdi.jl> @regress y x z z * x @if x < 5 [ Info: The variance-covariance matrix is not invertible. F-statistic not computed FixedEffectModel ============================================================================ Number of obs: 4 Converged: true dof (model): 3 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: NaN P-value: NaN ============================================================================ Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ──────────────────────────────────────────────────────────────────────────── x 3.0 Inf 0.0 1.0000 -Inf Inf z 1.0 Inf 0.0 1.0000 -Inf Inf z & x 4.44089e-16 Inf 0.0 1.0000 -Inf Inf (Intercept) 2.0 Inf 0.0 1.0000 -Inf Inf ============================================================================ Kezdi.jl> @regress y x z fe(s) @if x < 5 || x > 8 FixedEffectModel ==================================================================== Number of obs: 6 Converged: true dof (model): 2 dof (residuals): 3 R²: 1.000 R² adjusted: 1.000 F-statistic: 1.16465e31 P-value: 0.000 R² within: 1.000 Iterations: 1 ==================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ──────────────────────────────────────────────────────────────────── x 3.0 8.88178e-16 3.3777e15 <1e-99 3.0 3.0 z 1.0 8.50366e-16 1.17596e15 <1e-99 1.0 1.0 ==================================================================== Kezdi.jl> @regress y x z @if x < 5 || x > 8 FixedEffectModel ============================================================================== Number of obs: 6 Converged: true dof (model): 2 dof (residuals): 2 R²: 1.000 R² adjusted: 1.000 F-statistic: 5.98965e31 P-value: 0.000 ============================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────── x 3.0 2.82214e-16 1.06302e16 <1e-99 3.0 3.0 z 1.0 9.69664e-16 1.03128e15 <1e-99 1.0 1.0 (Intercept) 2.0 1.66761e-15 1.19932e15 <1e-99 2.0 2.0 ============================================================================== Kezdi.jl> @regress y x z z * x fe(s) @if x < 5 || x > 8 FixedEffectModel ================================================================================== Number of obs: 6 Converged: true dof (model): 3 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: 3.6371e30 P-value: 0.000 R² within: 1.000 Iterations: 1 ================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────── x 3.0 1.2977e-15 2.31178e15 <1e-99 3.0 3.0 z 1.0 1.95278e-15 5.1209e14 <1e-99 1.0 1.0 z & x -5.12411e-17 3.11698e-16 -0.164393 0.8963 -4.01174e-15 3.90926e-15 ================================================================================== Kezdi.jl> @regress y x z z * x @if x < 5 || x > 8 FixedEffectModel ====================================================================================== Number of obs: 6 Converged: true dof (model): 3 dof (residuals): 1 R²: 1.000 R² adjusted: 1.000 F-statistic: 3.28843e31 P-value: 0.000 ====================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────────── x 3.0 3.10984e-16 9.64679e15 <1e-99 3.0 3.0 z 1.0 1.84418e-15 5.42245e14 <1e-99 1.0 1.0 z & x 5.12411e-17 3.10984e-16 0.164771 0.8960 -3.90019e-15 4.00267e-15 (Intercept) 2.0 1.84418e-15 1.08449e15 <1e-99 2.0 2.0 ====================================================================================== Kezdi.jl> @regress y x z fe(s), robust ┌ Warning: estimated covariance matrix of moment conditions not positive-semidefinite. │ adjustment from Cameron, Gelbach & Miller (2011, JBES) applied. │ model tests should be interpreted with caution. └ @ Vcov ~/.julia/packages/Vcov/MUQ52/src/utils.jl:5 [ Info: The variance-covariance matrix is not invertible. F-statistic not computed FixedEffectModel =============================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 5 R²: 1.000 R² adjusted: 1.000 F-statistic: NaN P-value: NaN R² within: 1.000 Iterations: 1 =============================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ─────────────────────────────────────────────────────────────── x 3.0 0.0 Inf <1e-99 3.0 3.0 z 1.0 0.0 Inf <1e-99 1.0 1.0 =============================================================== Kezdi.jl> @regress y x z fe(s), cluster(s) ┌ Warning: estimated covariance matrix of moment conditions not positive-semidefinite. │ adjustment from Cameron, Gelbach & Miller (2011, JBES) applied. │ model tests should be interpreted with caution. └ @ Vcov ~/.julia/packages/Vcov/MUQ52/src/utils.jl:5 [ Info: The variance-covariance matrix is not invertible. F-statistic not computed FixedEffectModel =============================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 3 R²: 1.000 R² adjusted: 1.000 F-statistic: NaN P-value: NaN R² within: 1.000 Iterations: 1 =============================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ─────────────────────────────────────────────────────────────── x 3.0 0.0 Inf <1e-99 3.0 3.0 z 1.0 0.0 Inf <1e-99 1.0 1.0 =============================================================== Kezdi.jl> @regress y x z fe(s), cluster(s) robust ┌ Warning: estimated covariance matrix of moment conditions not positive-semidefinite. │ adjustment from Cameron, Gelbach & Miller (2011, JBES) applied. │ model tests should be interpreted with caution. └ @ Vcov ~/.julia/packages/Vcov/MUQ52/src/utils.jl:5 [ Info: The variance-covariance matrix is not invertible. F-statistic not computed FixedEffectModel =============================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 5 R²: 1.000 R² adjusted: 1.000 F-statistic: NaN P-value: NaN R² within: 1.000 Iterations: 1 =============================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ─────────────────────────────────────────────────────────────── x 3.0 0.0 Inf <1e-99 3.0 3.0 z 1.0 0.0 Inf <1e-99 1.0 1.0 =============================================================== Kezdi.jl> @regress y x "Dropping 1 row(s) due to missing values." Kezdi.jl> @regress y log(x) "Dropping 1 row(s) due to missing values." [ Info: The variance-covariance matrix is not invertible. F-statistic not computed Kezdi.jl> @regress log(x) y "Dropping 1 row(s) due to missing values." [ Info: The variance-covariance matrix is not invertible. F-statistic not computed Kezdi.jl> @tabulate x 3-element Named Vector{Int64} x │ ───┼── 1 │ 1 2 │ 2 3 │ 3 Kezdi.jl> @tabulate x y 3×2 Named Matrix{Int64} x ╲ y │ 0 1 ──────┼───── 1 │ 1 0 2 │ 2 0 3 │ 0 3 Kezdi.jl> @count 10 Kezdi.jl> @count @if s == "a" 4 Kezdi.jl> @count @if s == "b" && x < 5 0 Kezdi.jl> @list 10×2 DataFrame Row │ x y │ Int64 Int64 ─────┼────────────── 1 │ 1 11 2 │ 2 12 3 │ 3 13 4 │ 4 14 5 │ 5 15 6 │ 6 16 7 │ 7 17 8 │ 8 18 9 │ 9 19 10 │ 10 20 Kezdi.jl> @list 10×2 DataFrame Row │ x y │ Int64 Int64 ─────┼────────────── 1 │ 1 11 2 │ 2 12 3 │ 3 13 4 │ 4 14 5 │ 5 15 6 │ 6 16 7 │ 7 17 8 │ 8 18 9 │ 9 19 10 │ 10 20 Kezdi.jl> @list x 10×1 DataFrame Row │ x │ Int64 ─────┼─────── 1 │ 1 2 │ 2 3 │ 3 4 │ 4 5 │ 5 6 │ 6 7 │ 7 8 │ 8 9 │ 9 10 │ 10 Kezdi.jl> @list x y 10×2 DataFrame Row │ x y │ Int64 Int64 ─────┼────────────── 1 │ 1 11 2 │ 2 12 3 │ 3 13 4 │ 4 14 5 │ 5 15 6 │ 6 16 7 │ 7 17 8 │ 8 18 9 │ 9 19 10 │ 10 20 Kezdi.jl> @list @if x < 5 4×2 SubDataFrame Row │ x y │ Int64 Int64 ─────┼────────────── 1 │ 1 11 2 │ 2 12 3 │ 3 13 4 │ 4 14 Kezdi.jl> @list @if x < 5 4×2 SubDataFrame Row │ x y │ Int64 Int64 ─────┼────────────── 1 │ 1 11 2 │ 2 12 3 │ 3 13 4 │ 4 14 Kezdi.jl> @list y @if x < 5 4×1 SubDataFrame Row │ y │ Int64 ─────┼─────── 1 │ 11 2 │ 12 3 │ 13 4 │ 14 Kezdi.jl> @list x 10×1 DataFrame Row │ x │ Int64 ─────┼─────── 1 │ 1 2 │ 2 3 │ 3 4 │ 4 5 │ 5 6 │ 6 7 │ 7 8 │ 8 9 │ 9 10 │ 10 Kezdi.jl> @describe 2×2 DataFrame Row │ variable eltype │ Symbol DataType ─────┼──────────────────── 1 │ x Int64 2 │ y Int64 Kezdi.jl> @describe x 1×2 DataFrame Row │ variable eltype │ Symbol DataType ─────┼──────────────────── 1 │ x Int64 Kezdi.jl> @describe y 1×2 DataFrame Row │ variable eltype │ Symbol DataType ─────┼──────────────────── 1 │ y Int64 Kezdi.jl> @describe x y 2×2 DataFrame Row │ variable eltype │ Symbol DataType ─────┼──────────────────── 1 │ x Int64 2 │ y Int64 Kezdi.jl> @sort x Kezdi.jl> @sort x y Kezdi.jl> @sort x, desc Kezdi.jl> @sort x y, desc Kezdi.jl> @sort x Kezdi.jl> @sort x y Kezdi.jl> @sort y Kezdi.jl> @sort y x Kezdi.jl> @order Kezdi.jl> @order s Kezdi.jl> @order s, alphabetical Kezdi.jl> @order s, alphabetical last Kezdi.jl> @order s, alphabetical desc Kezdi.jl> @order s, alphabetical desc last Kezdi.jl> @order s, after(z) Kezdi.jl> @order s, after(z) alphabetical Kezdi.jl> @order s, after(z) alphabetical desc Kezdi.jl> @order s, before(y) Kezdi.jl> @order s, before(y) alphabetical Kezdi.jl> @order s, before(y) alphabetical desc Kezdi.jl> @rename a b Kezdi.jl> @mvencode x Kezdi.jl> @mvencode x, mv(-99.0) Kezdi.jl> @mvencode x, mv(-99) Kezdi.jl> @mvencode x, mv(mean(x)) Kezdi.jl> @mvencode x, mv(mean(x) / mean(y)) Kezdi.jl> @mvencode y, mv(-99) Kezdi.jl> @mvencode x y, mv(-99) Kezdi.jl> @mvencode _all, mv(-99) Kezdi.jl> @mvencode x _all, mv(-99) Kezdi.jl> @mvencode _all x, mv(-99) Kezdi.jl> @mvencode x @if ismissing(y), mv(-99) Kezdi.jl> @mvencode x @if ismissing(x), mv(-99) Kezdi.jl> @mvencode y @if ismissing(y), mv(-99) Kezdi.jl> @mvencode y @if ismissing(x), mv(-99) Kezdi.jl> @mvencode x y @if ismissing(y), mv(-99) Kezdi.jl> @mvencode x y @if ismissing(x), mv(-99) Kezdi.jl> @mvencode x y @if ismissing(x) || !(ismissing(y)), mv(-99) Kezdi.jl> @use test.dta, clear Kezdi.jl> @use test.dta @if x < 5, clear Kezdi.jl> @reshape_wide x y, i(i) j(j) Kezdi.jl> @reshape_wide x, i(i) j(j) Kezdi.jl> @reshape_wide x, i(j) j(i) Kezdi.jl> @reshape_wide x y, i(i) j(j) Kezdi.jl> @reshape_wide x y, i(j) j(i) Kezdi.jl> @reshape_wide x y, i(i1, i2) j(j) Kezdi.jl> @reshape_long x, i(i) j(j) Kezdi.jl> @reshape_long x y, i(i) j(j) Kezdi.jl> @reshape_long x, i(i1, i2) j(j) Kezdi.jl> @clear Kezdi.jl> @save test.dta, replace Kezdi.jl> @save test.dta, replace Save: Error During Test at /home/pkgeval/.julia/packages/Kezdi/gpFg7/test/commands.jl:917 Got exception outside of a @test SystemError: opening file "test.dta": Permission denied Stacktrace: [1] systemerror(p::String, errno::Int32; extrainfo::Nothing) @ Base ./error.jl:176 [2] systemerror @ ./error.jl:175 [inlined] [3] open(fname::String; lock::Bool, read::Nothing, write::Nothing, create::Nothing, truncate::Bool, append::Nothing) @ Base ./iostream.jl:295 [4] open @ ./iostream.jl:277 [inlined] [5] open(fname::String, mode::String; lock::Bool) @ Base ./iostream.jl:358 [6] open @ ./iostream.jl:357 [inlined] [7] writestat(filepath::String, table::DataFrame; ext::String, kwargs::@Kwargs{}) @ ReadStatTables ~/.julia/packages/ReadStatTables/YJxyU/src/writestat.jl:317 [8] writestat(filepath::String, table::DataFrame) @ ReadStatTables ~/.julia/packages/ReadStatTables/YJxyU/src/writestat.jl:312 [9] save(fname::String) @ Kezdi ~/.julia/packages/Kezdi/gpFg7/src/functions.jl:2 [10] macro expansion @ ~/.julia/packages/Kezdi/gpFg7/test/commands.jl:36 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [12] top-level scope @ ~/.julia/packages/Kezdi/gpFg7/test/commands.jl:918 [13] include(fname::String) @ Main ./sysimg.jl:38 [14] macro expansion @ ~/.julia/packages/Kezdi/gpFg7/test/runtests.jl:32 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [16] macro expansion @ ~/.julia/packages/Kezdi/gpFg7/test/runtests.jl:32 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [18] top-level scope @ ~/.julia/packages/Kezdi/gpFg7/test/runtests.jl:27 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531 Kezdi.jl> @use test.dta, clear Kezdi.jl> @append test.sas7bdat Kezdi.jl> @append test.csv Kezdi.jl> @use test2.sas7bdat, clear Kezdi.jl> @use test.dta, clear Kezdi.jl> @append test2.sas7bdat Kezdi.jl> @use test.dta, clear Kezdi.jl> @append df2 Kezdi.jl> @use test.dta, clear Kezdi.jl> @generate z = x + y Kezdi.jl> @append df2 Kezdi.jl> @generate y = Dates.year(x) Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x z c FixedEffectModel ================================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 6 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.16986e32 P-value: 0.000 ================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────── x 3.0 1.5013e-16 1.99827e16 <1e-99 3.0 3.0 z 1.0 4.31214e-16 2.31903e15 <1e-99 1.0 1.0 c 0.0 NaN NaN NaN NaN NaN (Intercept) 2.0 9.285e-16 2.15401e15 <1e-99 2.0 2.0 ================================================================================== Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x z c FixedEffectModel ================================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 6 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.16986e32 P-value: 0.000 ================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────── x 3.0 1.5013e-16 1.99827e16 <1e-99 3.0 3.0 z 1.0 4.31214e-16 2.31903e15 <1e-99 1.0 1.0 c 0.0 NaN NaN NaN NaN NaN (Intercept) 2.0 9.285e-16 2.15401e15 <1e-99 2.0 2.0 ================================================================================== Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x z c FixedEffectModel ================================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 6 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.16986e32 P-value: 0.000 ================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────── x 3.0 1.5013e-16 1.99827e16 <1e-99 3.0 3.0 z 1.0 4.31214e-16 2.31903e15 <1e-99 1.0 1.0 c 0.0 NaN NaN NaN NaN NaN (Intercept) 2.0 9.285e-16 2.15401e15 <1e-99 2.0 2.0 ================================================================================== Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x z c FixedEffectModel ================================================================================== Number of obs: 10 Converged: true dof (model): 2 dof (residuals): 6 R²: 1.000 R² adjusted: 1.000 F-statistic: 2.16986e32 P-value: 0.000 ================================================================================== Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ────────────────────────────────────────────────────────────────────────────────── x 3.0 1.5013e-16 1.99827e16 <1e-99 3.0 3.0 z 1.0 4.31214e-16 2.31903e15 <1e-99 1.0 1.0 c 0.0 NaN NaN NaN NaN NaN (Intercept) 2.0 9.285e-16 2.15401e15 <1e-99 2.0 2.0 ================================================================================== Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @summarize x Summarize x: N = 10 sum_w = 10.0 mean = 5.5 Var = 9.166666666666666 sd = 3.0276503540974917 skewness = 0.0 kurtosis = 1.7757575757575756 sum = 55.0 min = 1.0 max = 10.0 p1 = 1.0 p5 = 1.0 p10 = 1.5 p25 = 3.0 p50 = 5.5 p75 = 8.0 p90 = 9.5 p95 = 10.0 p99 = 10.0 Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @summarize x @if s == "a" Summarize x: N = 4 sum_w = 4.0 mean = 2.5 Var = 1.6666666666666667 sd = 1.2909944487358056 skewness = 0.0 kurtosis = 1.64 sum = 10.0 min = 1.0 max = 4.0 p1 = 1.0 p5 = 1.0 p10 = 1.0 p25 = 1.5 p50 = 2.5 p75 = 3.5 p90 = 4.0 p95 = 4.0 p99 = 4.0 Kezdi.jl> @keep @if x < 6 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @tabulate c x 1×10 Named Matrix{Int64} c ╲ x │ 1 2 3 4 5 6 7 8 9 10 ──────┼─────────────────────────────────────── 1 │ 1 1 1 1 1 1 1 1 1 1 Kezdi.jl> @list 10×5 DataFrame Row │ x y z s c │ Int64 Int64 Int64 String Int64 ─────┼──────────────────────────────────── 1 │ 1 4 -1 a 1 2 │ 2 9 1 a 1 3 │ 3 10 -1 a 1 4 │ 4 15 1 a 1 5 │ 5 16 -1 b 1 6 │ 6 21 1 b 1 7 │ 7 22 -1 b 1 8 │ 8 27 1 b 1 9 │ 9 28 -1 c 1 10 │ 10 33 1 c 1 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @tabulate c x @if s == "a" 1×4 Named Matrix{Int64} c ╲ x │ 1 2 3 4 ──────┼─────────── 1 │ 1 1 1 1 Kezdi.jl> @list 10×5 DataFrame Row │ x y z s c │ Int64 Int64 Int64 String Int64 ─────┼──────────────────────────────────── 1 │ 1 4 -1 a 1 2 │ 2 9 1 a 1 3 │ 3 10 -1 a 1 4 │ 4 15 1 a 1 5 │ 5 16 -1 b 1 6 │ 6 21 1 b 1 7 │ 7 22 -1 b 1 8 │ 8 27 1 b 1 9 │ 9 28 -1 c 1 10 │ 10 33 1 c 1 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x c FixedEffectModel ============================================================================= Number of obs: 10 Converged: true dof (model): 1 dof (residuals): 7 R²: 0.988 R² adjusted: 0.986 F-statistic: 637.563 P-value: 0.000 ============================================================================= Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ───────────────────────────────────────────────────────────────────────────── x 3.06061 0.121212 25.25 <1e-07 2.77398 3.34723 c 0.0 NaN NaN NaN NaN NaN (Intercept) 1.66667 0.752101 2.21601 0.0622 -0.111771 3.4451 ============================================================================= Kezdi.jl> @list 10×5 DataFrame Row │ x y z s c │ Int64 Int64 Int64 String Int64 ─────┼──────────────────────────────────── 1 │ 1 4 -1 a 1 2 │ 2 9 1 a 1 3 │ 3 10 -1 a 1 4 │ 4 15 1 a 1 5 │ 5 16 -1 b 1 6 │ 6 21 1 b 1 7 │ 7 22 -1 b 1 8 │ 8 27 1 b 1 9 │ 9 28 -1 c 1 10 │ 10 33 1 c 1 Kezdi.jl> @generate c = 1 ^ _n Kezdi.jl> @regress y x c @if s == "a" FixedEffectModel ============================================================================= Number of obs: 4 Converged: true dof (model): 1 dof (residuals): 1 R²: 0.948 R² adjusted: 0.921 F-statistic: 36.125 P-value: 0.105 ============================================================================= Estimate Std. Error t-stat Pr(>|t|) Lower 95% Upper 95% ───────────────────────────────────────────────────────────────────────────── x 3.4 0.565685 6.01041 0.1050 -3.78771 10.5877 c 0.0 NaN NaN NaN NaN NaN (Intercept) 1.0 1.54919 0.645497 0.6351 -18.6844 20.6844 ============================================================================= Kezdi.jl> @list 10×5 DataFrame Row │ x y z s c │ Int64 Int64 Int64 String Int64 ─────┼──────────────────────────────────── 1 │ 1 4 -1 a 1 2 │ 2 9 1 a 1 3 │ 3 10 -1 a 1 4 │ 4 15 1 a 1 5 │ 5 16 -1 b 1 6 │ 6 21 1 b 1 7 │ 7 22 -1 b 1 8 │ 8 27 1 b 1 9 │ 9 28 -1 c 1 10 │ 10 33 1 c 1 Kezdi.jl> @keep @if x <= 3 Kezdi.jl> @drop @if x == 1 Kezdi.jl> @clear Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Kezdi.jl> @generate ln_x1 = log(x1) Kezdi.jl> @generate ln_x2 = log(x2) Kezdi.jl> @generate ln_x3 = log(x3) Kezdi.jl> @generate ln_x4 = log(x4) Kezdi.jl> @generate ln_x5 = log(x5) Kezdi.jl> @generate ln_x6 = log(x6) Kezdi.jl> @generate ln_x7 = log(x7) Kezdi.jl> @generate ln_x8 = log(x8) Kezdi.jl> @generate ln_x9 = log(x9) Test Summary: | Pass Error Total Time Kezdi.jl | 519 1 520 9m16.8s Parsing | 29 29 11.4s Commands | 390 1 391 7m53.0s Generate | 24 24 22.1s Replace | 19 19 8.6s Missing values | 3 3 1.0s Constant string value | 2 2 1.1s Collapse | 17 17 18.9s Egen | 28 28 29.6s Keep if | 5 5 1.0s Keep if with missing | 2 2 1.6s Drop if | 7 7 0.4s Generate with if | 26 26 4.4s x in list | 6 6 18.4s Egen with if | 25 25 5.5s Summarize | 48 48 4.4s Boolean-valued column | 2 2 0.7s Regression | 29 29 2m27.7s Tabulate | 10 10 8.0s Count | 3 3 1.1s List | 8 8 11.9s Describe | 4 4 4.0s Sort | 19 19 8.0s Order | 12 12 4.2s Rename | 2 2 0.5s Missing encode | 28 28 10.1s Use | 1 1 11.8s Reshape wide | 31 31 33.5s Reshape long | 13 13 17.2s Reshape invalid | 1 1 0.0s Save | 1 1 2 5.5s Append | 14 14 48.9s Code generation | 71 71 9.0s With.jl | 13 13 13.7s Functions | 15 15 7.5s Speed | 1 1 42.2s ERROR: LoadError: Some tests did not pass: 519 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/Kezdi/gpFg7/test/runtests.jl:26 Testing failed after 583.93s ERROR: LoadError: Package Kezdi errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 880.05s: package tests unexpectedly errored