From 200cff9d8ad188211e0b197a4a8c5a6d90ea8822 Mon Sep 17 00:00:00 2001 From: KaiAragaki <7370516+KaiAragaki@users.noreply.github.com> Date: Mon, 13 Nov 2023 21:45:44 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20KaiAraga?= =?UTF-8?q?ki/qp@ca6d5c64bef6c1b369bd18e904df05096ee89b5a=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- apple-touch-icon-120x120.png | Bin 10458 -> 10458 bytes apple-touch-icon-152x152.png | Bin 15516 -> 15516 bytes apple-touch-icon-180x180.png | Bin 19880 -> 19880 bytes apple-touch-icon-60x60.png | Bin 4379 -> 4379 bytes apple-touch-icon-76x76.png | Bin 5885 -> 5885 bytes apple-touch-icon.png | Bin 19880 -> 19880 bytes articles/quantifying-protein-with-qp.html | 39 +- .../figure-html/unnamed-chunk-3-1.png | Bin 227317 -> 250306 bytes favicon-16x16.png | Bin 1411 -> 1411 bytes favicon-32x32.png | Bin 2149 -> 2149 bytes pkgdown.yml | 2 +- reference/Rplot001.png | Bin 23411 -> 1011 bytes reference/index.html | 5 + reference/qp_calc_abs_mean.html | 430 +++++++++--------- reference/qp_dilute.html | 4 +- reference/qp_plot_plate-1.png | Bin 219402 -> 255254 bytes reference/qp_report.html | 104 +++++ search.json | 2 +- sitemap.xml | 3 + 19 files changed, 351 insertions(+), 238 deletions(-) create mode 100644 reference/qp_report.html diff --git a/apple-touch-icon-120x120.png b/apple-touch-icon-120x120.png index f323de22441700015889e047535dd498735fa6d7..8acf817955aad81c9a83b8a32d168d88382113ff 100644 GIT binary patch delta 71 zcmcZ=cq?#16$h`VF5mosI@OI$i`7L9jYEtKtxQa<3{A8R46F0IvVr61zWoWK#U|?ln;1nNPG}%f+22;kE L>Fv46*&6u(RA?3P diff --git a/apple-touch-icon-152x152.png b/apple-touch-icon-152x152.png index fa7f6991fd0ef9284328fdf729f2dd7968b13630..d814fee0abf53b9f4ce3aee066ed37f25893e740 100644 GIT binary patch delta 71 zcmbPJIj3?$6$h`Vu0U$Mv)jg|RBKT~;}9c5D-%;ILo;my11kfAH?{M_C;zdQ!IYV+ Lp#FNYu1!7w6&Mw5 delta 71 zcmbPJIj3?$6$cxOrjY85l^PqHQmsV|%t8!ItV|583@x+`46FLHB3w+t^g-BWhq4VqjurVrXS(scm3jWndtbpr=2X!&e4V NCfRn{_Qb8@wS45my( LyJYI*H3InnAl4OR delta 71 zcmbQOG+Svx6$cxOCcoRgqaQamJ>eHMFbgp-u`)5VGBnjTFt9Q(xO%`PdUCaZ45rMI MxqqHdUL%kX06J_JO#lD@ diff --git a/apple-touch-icon-76x76.png b/apple-touch-icon-76x76.png index bba2ab2f7558261a0fbe0fa3f483294f4e6b18bf..7c6b80fad0abcaf4596f458c7fbb949717844766 100644 GIT binary patch delta 71 zcmeyX`&V~D6$h`VE-zc8{``$i$3#U9jYEtKtxQa<42`u746F%(_~BEd;m>d6*&L^ delta 73 zcmZ26n{mZ##tBs%Y%H3>LHB3w+t^g-BWhq4VqjurVrXS(scm3jWndtbpr=2X!&e4V NCfRn{Routine analysissummary <- qp_summarize(out) summary #> # A tibble: 12 × 3 -#> .sample_name sample_type .mean_pred_conc +#> .sample_name sample_type .pred_conc_mean #> <chr> <fct> <dbl> #> 1 Standard 1 standard -0.00623 #> 2 Standard 2 standard 0.102 @@ -175,21 +175,22 @@

Routine analysis
 summary |> qp_dilute()
 #> `target_conc` is missing, using lowest sample concentration
-#> # A tibble: 12 × 5
-#>    .sample_name sample_type .mean_pred_conc sample_to_add  add_to
-#>    <chr>        <fct>                 <dbl>         <dbl>   <dbl>
-#>  1 Standard 1   standard           -0.00623      -1088    1103   
-#>  2 Standard 2   standard            0.102           66.2   -51.2 
-#>  3 Standard 3   standard            0.258           26.2   -11.2 
-#>  4 Standard 4   standard            0.520           13.0     1.98
-#>  5 Standard 5   standard            1.08             6.24    8.76
-#>  6 Standard 6   standard            2.06             3.28   11.7 
-#>  7 Standard 7   standard            3.76             1.8    13.2 
-#>  8 1            unknown             1.71             3.97   11.0 
-#>  9 2            unknown             1.39             4.85   10.1 
-#> 10 3            unknown             0.989            6.85    8.15
-#> 11 4            unknown             1.30             5.23    9.77
-#> 12 5            unknown             0.451           15       0
+#> # A tibble: 12 × 7 +#> .sample_name sample_type .pred_conc_mean sample_to_add add_to .target_conc +#> <chr> <fct> <dbl> <dbl> <dbl> <dbl> +#> 1 Standard 1 standard -0.00623 -1088 1103 0.451 +#> 2 Standard 2 standard 0.102 66.2 -51.2 0.451 +#> 3 Standard 3 standard 0.258 26.2 -11.2 0.451 +#> 4 Standard 4 standard 0.520 13.0 1.98 0.451 +#> 5 Standard 5 standard 1.08 6.24 8.76 0.451 +#> 6 Standard 6 standard 2.06 3.28 11.7 0.451 +#> 7 Standard 7 standard 3.76 1.8 13.2 0.451 +#> 8 1 unknown 1.71 3.97 11.0 0.451 +#> 9 2 unknown 1.39 4.85 10.1 0.451 +#> 10 3 unknown 0.989 6.85 8.15 0.451 +#> 11 4 unknown 1.30 5.23 9.77 0.451 +#> 12 5 unknown 0.451 15 0 0.451 +#> # ℹ 1 more variable: .target_vol <dbl>

When things go wrong @@ -200,8 +201,8 @@

When things go wrong

-

We can extract the gp from the spectramax object via:

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zJ@A7b8wm>n$c#Y3`mLy_7KTHEy$-r4^75ll#t}IZ1B9YhjRI6xka|p;YY+*ZHp+$_ zt-5&p<tgEaVMaA*9^TZ{MoMAZ>igJBql>4Bat@a2;mILiD$ z*LghpJ4tcjzQZR1`{DX@IYTxt;Ej3td1sD;?p8U2xY-NqtJ>n56ju9N=9;AK^!Summary functionsqp_plot_standards()

View an absorbance/concentration plot
+
+ + qp_report() +
+
Create a report for a protein quantificaiton experiment

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Data

diff --git a/reference/qp_calc_abs_mean.html b/reference/qp_calc_abs_mean.html index c760918..ccf6587 100644 --- a/reference/qp_calc_abs_mean.html +++ b/reference/qp_calc_abs_mean.html @@ -108,184 +108,184 @@

Examples # Selecting different subsets for outlier removal qp_calc_abs_mean(abs, "none") -#> sample_type index rep .abs .is_outlier .mean -#> 1 standard 1 1 1.4409960 NA 1.077212 -#> 2 standard 1 2 1.6211667 NA 1.077212 -#> 3 standard 1 3 0.1694727 NA 1.077212 -#> 4 standard 2 1 2.0392127 NA 2.716748 -#> 5 standard 2 2 2.7827729 NA 2.716748 -#> 6 standard 2 3 3.3282580 NA 2.716748 -#> 7 standard 3 1 4.0431473 NA 3.255435 -#> 8 standard 3 2 4.5102595 NA 3.255435 -#> 9 standard 3 3 1.2128968 NA 3.255435 -#> 10 standard 4 1 4.8941398 NA 4.245401 -#> 11 standard 4 2 4.8049476 NA 4.245401 -#> 12 standard 4 3 3.0371160 NA 4.245401 -#> 13 standard 5 1 4.3774287 NA 4.900360 -#> 14 standard 5 2 5.2769662 NA 4.900360 -#> 15 standard 5 3 5.0466865 NA 4.900360 -#> 16 standard 6 1 6.3621845 NA 6.307144 -#> 17 standard 6 2 6.1554484 NA 6.307144 -#> 18 standard 6 3 6.4037992 NA 6.307144 -#> 19 standard 7 1 5.4353452 NA 7.050576 -#> 20 standard 7 2 8.3076995 NA 7.050576 -#> 21 standard 7 3 7.4086819 NA 7.050576 -#> 22 unknown 1 1 0.6077687 NA 0.673318 -#> 23 unknown 1 2 0.1249982 NA 0.673318 -#> 24 unknown 1 3 1.2871872 NA 0.673318 -#> 25 unknown 2 1 1.5403525 NA 1.120034 -#> 26 unknown 2 2 0.2488833 NA 1.120034 -#> 27 unknown 2 3 1.5708666 NA 1.120034 -#> 28 unknown 3 1 1.9067429 NA 3.295292 -#> 29 unknown 3 2 3.1631063 NA 3.295292 -#> 30 unknown 3 3 4.8160276 NA 3.295292 -#> 31 unknown 4 1 3.8594186 NA 3.821733 -#> 32 unknown 4 2 2.1046363 NA 3.821733 -#> 33 unknown 4 3 5.5011443 NA 3.821733 -#> 34 unknown 5 1 5.9001643 NA 6.785549 -#> 35 unknown 5 2 6.8102770 NA 6.785549 -#> 36 unknown 5 3 7.6462057 NA 6.785549 -#> 37 unknown 6 1 7.7864671 NA 7.756621 -#> 38 unknown 6 2 8.2602046 NA 7.756621 -#> 39 unknown 6 3 7.2231900 NA 7.756621 -#> 40 unknown 7 1 7.3532435 NA 7.138255 -#> 41 unknown 7 2 6.9576050 NA 7.138255 -#> 42 unknown 7 3 7.1039154 NA 7.138255 +#> sample_type index rep .abs .is_outlier .mean +#> 1 standard 1 1 0.40402343 NA 1.5829600 +#> 2 standard 1 2 2.07925342 NA 1.5829600 +#> 3 standard 1 3 2.26560314 NA 1.5829600 +#> 4 standard 2 1 0.03826703 NA 1.2655603 +#> 5 standard 2 2 0.71389199 NA 1.2655603 +#> 6 standard 2 3 3.04452202 NA 1.2655603 +#> 7 standard 3 1 3.42872410 NA 3.4505216 +#> 8 standard 3 2 4.62415487 NA 3.4505216 +#> 9 standard 3 3 2.29868597 NA 3.4505216 +#> 10 standard 4 1 4.11943183 NA 3.5637263 +#> 11 standard 4 2 4.03045064 NA 3.5637263 +#> 12 standard 4 3 2.54129643 NA 3.5637263 +#> 13 standard 5 1 5.13121320 NA 4.8147209 +#> 14 standard 5 2 3.90345648 NA 4.8147209 +#> 15 standard 5 3 5.40949308 NA 4.8147209 +#> 16 standard 6 1 6.71121802 NA 6.4510496 +#> 17 standard 6 2 6.10953391 NA 6.4510496 +#> 18 standard 6 3 6.53239672 NA 6.4510496 +#> 19 standard 7 1 5.96407114 NA 6.9312560 +#> 20 standard 7 2 7.78129362 NA 6.9312560 +#> 21 standard 7 3 7.04840332 NA 6.9312560 +#> 22 unknown 1 1 0.29944732 NA 0.6863457 +#> 23 unknown 1 2 1.44278681 NA 0.6863457 +#> 24 unknown 1 3 0.31680284 NA 0.6863457 +#> 25 unknown 2 1 2.04091128 NA 2.4999811 +#> 26 unknown 2 2 1.34253626 NA 2.4999811 +#> 27 unknown 2 3 4.11649562 NA 2.4999811 +#> 28 unknown 3 1 3.35549771 NA 2.7357872 +#> 29 unknown 3 2 2.43438075 NA 2.7357872 +#> 30 unknown 3 3 2.41748323 NA 2.7357872 +#> 31 unknown 4 1 3.91031869 NA 3.4297199 +#> 32 unknown 4 2 4.63818073 NA 3.4297199 +#> 33 unknown 4 3 1.74066013 NA 3.4297199 +#> 34 unknown 5 1 5.05531014 NA 4.5828051 +#> 35 unknown 5 2 4.57310025 NA 4.5828051 +#> 36 unknown 5 3 4.12000481 NA 4.5828051 +#> 37 unknown 6 1 5.08349713 NA 5.8971374 +#> 38 unknown 6 2 6.18647681 NA 5.8971374 +#> 39 unknown 6 3 6.42143827 NA 5.8971374 +#> 40 unknown 7 1 7.18561351 NA 7.0395659 +#> 41 unknown 7 2 7.03522974 NA 7.0395659 +#> 42 unknown 7 3 6.89785447 NA 7.0395659 qp_calc_abs_mean(abs, "standards") -#> sample_type index rep .abs .is_outlier .mean -#> 1 standard 1 1 1.4409960 FALSE 1.531081 -#> 2 standard 1 2 1.6211667 FALSE 1.531081 -#> 3 standard 1 3 0.1694727 TRUE 1.531081 -#> 4 standard 2 1 2.0392127 FALSE 2.716748 -#> 5 standard 2 2 2.7827729 FALSE 2.716748 -#> 6 standard 2 3 3.3282580 FALSE 2.716748 -#> 7 standard 3 1 4.0431473 FALSE 4.276703 -#> 8 standard 3 2 4.5102595 FALSE 4.276703 -#> 9 standard 3 3 1.2128968 TRUE 4.276703 -#> 10 standard 4 1 4.8941398 FALSE 4.849544 -#> 11 standard 4 2 4.8049476 FALSE 4.849544 -#> 12 standard 4 3 3.0371160 TRUE 4.849544 -#> 13 standard 5 1 4.3774287 TRUE 5.161826 -#> 14 standard 5 2 5.2769662 FALSE 5.161826 -#> 15 standard 5 3 5.0466865 FALSE 5.161826 -#> 16 standard 6 1 6.3621845 FALSE 6.382992 -#> 17 standard 6 2 6.1554484 TRUE 6.382992 -#> 18 standard 6 3 6.4037992 FALSE 6.382992 -#> 19 standard 7 1 5.4353452 TRUE 7.858191 -#> 20 standard 7 2 8.3076995 FALSE 7.858191 -#> 21 standard 7 3 7.4086819 FALSE 7.858191 -#> 22 unknown 1 1 0.6077687 NA 0.673318 -#> 23 unknown 1 2 0.1249982 NA 0.673318 -#> 24 unknown 1 3 1.2871872 NA 0.673318 -#> 25 unknown 2 1 1.5403525 NA 1.120034 -#> 26 unknown 2 2 0.2488833 NA 1.120034 -#> 27 unknown 2 3 1.5708666 NA 1.120034 -#> 28 unknown 3 1 1.9067429 NA 3.295292 -#> 29 unknown 3 2 3.1631063 NA 3.295292 -#> 30 unknown 3 3 4.8160276 NA 3.295292 -#> 31 unknown 4 1 3.8594186 NA 3.821733 -#> 32 unknown 4 2 2.1046363 NA 3.821733 -#> 33 unknown 4 3 5.5011443 NA 3.821733 -#> 34 unknown 5 1 5.9001643 NA 6.785549 -#> 35 unknown 5 2 6.8102770 NA 6.785549 -#> 36 unknown 5 3 7.6462057 NA 6.785549 -#> 37 unknown 6 1 7.7864671 NA 7.756621 -#> 38 unknown 6 2 8.2602046 NA 7.756621 -#> 39 unknown 6 3 7.2231900 NA 7.756621 -#> 40 unknown 7 1 7.3532435 NA 7.138255 -#> 41 unknown 7 2 6.9576050 NA 7.138255 -#> 42 unknown 7 3 7.1039154 NA 7.138255 +#> sample_type index rep .abs .is_outlier .mean +#> 1 standard 1 1 0.40402343 TRUE 2.1724283 +#> 2 standard 1 2 2.07925342 FALSE 2.1724283 +#> 3 standard 1 3 2.26560314 FALSE 2.1724283 +#> 4 standard 2 1 0.03826703 FALSE 0.3760795 +#> 5 standard 2 2 0.71389199 FALSE 0.3760795 +#> 6 standard 2 3 3.04452202 TRUE 0.3760795 +#> 7 standard 3 1 3.42872410 FALSE 3.4505216 +#> 8 standard 3 2 4.62415487 FALSE 3.4505216 +#> 9 standard 3 3 2.29868597 FALSE 3.4505216 +#> 10 standard 4 1 4.11943183 FALSE 4.0749412 +#> 11 standard 4 2 4.03045064 FALSE 4.0749412 +#> 12 standard 4 3 2.54129643 TRUE 4.0749412 +#> 13 standard 5 1 5.13121320 FALSE 5.2703531 +#> 14 standard 5 2 3.90345648 TRUE 5.2703531 +#> 15 standard 5 3 5.40949308 FALSE 5.2703531 +#> 16 standard 6 1 6.71121802 FALSE 6.6218074 +#> 17 standard 6 2 6.10953391 TRUE 6.6218074 +#> 18 standard 6 3 6.53239672 FALSE 6.6218074 +#> 19 standard 7 1 5.96407114 FALSE 6.9312560 +#> 20 standard 7 2 7.78129362 FALSE 6.9312560 +#> 21 standard 7 3 7.04840332 FALSE 6.9312560 +#> 22 unknown 1 1 0.29944732 NA 0.6863457 +#> 23 unknown 1 2 1.44278681 NA 0.6863457 +#> 24 unknown 1 3 0.31680284 NA 0.6863457 +#> 25 unknown 2 1 2.04091128 NA 2.4999811 +#> 26 unknown 2 2 1.34253626 NA 2.4999811 +#> 27 unknown 2 3 4.11649562 NA 2.4999811 +#> 28 unknown 3 1 3.35549771 NA 2.7357872 +#> 29 unknown 3 2 2.43438075 NA 2.7357872 +#> 30 unknown 3 3 2.41748323 NA 2.7357872 +#> 31 unknown 4 1 3.91031869 NA 3.4297199 +#> 32 unknown 4 2 4.63818073 NA 3.4297199 +#> 33 unknown 4 3 1.74066013 NA 3.4297199 +#> 34 unknown 5 1 5.05531014 NA 4.5828051 +#> 35 unknown 5 2 4.57310025 NA 4.5828051 +#> 36 unknown 5 3 4.12000481 NA 4.5828051 +#> 37 unknown 6 1 5.08349713 NA 5.8971374 +#> 38 unknown 6 2 6.18647681 NA 5.8971374 +#> 39 unknown 6 3 6.42143827 NA 5.8971374 +#> 40 unknown 7 1 7.18561351 NA 7.0395659 +#> 41 unknown 7 2 7.03522974 NA 7.0395659 +#> 42 unknown 7 3 6.89785447 NA 7.0395659 qp_calc_abs_mean(abs, "samples") -#> sample_type index rep .abs .is_outlier .mean -#> 1 standard 1 1 1.4409960 NA 1.077212 -#> 2 standard 1 2 1.6211667 NA 1.077212 -#> 3 standard 1 3 0.1694727 NA 1.077212 -#> 4 standard 2 1 2.0392127 NA 2.716748 -#> 5 standard 2 2 2.7827729 NA 2.716748 -#> 6 standard 2 3 3.3282580 NA 2.716748 -#> 7 standard 3 1 4.0431473 NA 3.255435 -#> 8 standard 3 2 4.5102595 NA 3.255435 -#> 9 standard 3 3 1.2128968 NA 3.255435 -#> 10 standard 4 1 4.8941398 NA 4.245401 -#> 11 standard 4 2 4.8049476 NA 4.245401 -#> 12 standard 4 3 3.0371160 NA 4.245401 -#> 13 standard 5 1 4.3774287 NA 4.900360 -#> 14 standard 5 2 5.2769662 NA 4.900360 -#> 15 standard 5 3 5.0466865 NA 4.900360 -#> 16 standard 6 1 6.3621845 NA 6.307144 -#> 17 standard 6 2 6.1554484 NA 6.307144 -#> 18 standard 6 3 6.4037992 NA 6.307144 -#> 19 standard 7 1 5.4353452 NA 7.050576 -#> 20 standard 7 2 8.3076995 NA 7.050576 -#> 21 standard 7 3 7.4086819 NA 7.050576 -#> 22 unknown 1 1 0.6077687 FALSE 0.673318 -#> 23 unknown 1 2 0.1249982 FALSE 0.673318 -#> 24 unknown 1 3 1.2871872 FALSE 0.673318 -#> 25 unknown 2 1 1.5403525 FALSE 1.555610 -#> 26 unknown 2 2 0.2488833 TRUE 1.555610 -#> 27 unknown 2 3 1.5708666 FALSE 1.555610 -#> 28 unknown 3 1 1.9067429 FALSE 3.295292 -#> 29 unknown 3 2 3.1631063 FALSE 3.295292 -#> 30 unknown 3 3 4.8160276 FALSE 3.295292 -#> 31 unknown 4 1 3.8594186 FALSE 3.821733 -#> 32 unknown 4 2 2.1046363 FALSE 3.821733 -#> 33 unknown 4 3 5.5011443 FALSE 3.821733 -#> 34 unknown 5 1 5.9001643 FALSE 6.785549 -#> 35 unknown 5 2 6.8102770 FALSE 6.785549 -#> 36 unknown 5 3 7.6462057 FALSE 6.785549 -#> 37 unknown 6 1 7.7864671 FALSE 7.756621 -#> 38 unknown 6 2 8.2602046 FALSE 7.756621 -#> 39 unknown 6 3 7.2231900 FALSE 7.756621 -#> 40 unknown 7 1 7.3532435 TRUE 7.030760 -#> 41 unknown 7 2 6.9576050 FALSE 7.030760 -#> 42 unknown 7 3 7.1039154 FALSE 7.030760 +#> sample_type index rep .abs .is_outlier .mean +#> 1 standard 1 1 0.40402343 NA 1.5829600 +#> 2 standard 1 2 2.07925342 NA 1.5829600 +#> 3 standard 1 3 2.26560314 NA 1.5829600 +#> 4 standard 2 1 0.03826703 NA 1.2655603 +#> 5 standard 2 2 0.71389199 NA 1.2655603 +#> 6 standard 2 3 3.04452202 NA 1.2655603 +#> 7 standard 3 1 3.42872410 NA 3.4505216 +#> 8 standard 3 2 4.62415487 NA 3.4505216 +#> 9 standard 3 3 2.29868597 NA 3.4505216 +#> 10 standard 4 1 4.11943183 NA 3.5637263 +#> 11 standard 4 2 4.03045064 NA 3.5637263 +#> 12 standard 4 3 2.54129643 NA 3.5637263 +#> 13 standard 5 1 5.13121320 NA 4.8147209 +#> 14 standard 5 2 3.90345648 NA 4.8147209 +#> 15 standard 5 3 5.40949308 NA 4.8147209 +#> 16 standard 6 1 6.71121802 NA 6.4510496 +#> 17 standard 6 2 6.10953391 NA 6.4510496 +#> 18 standard 6 3 6.53239672 NA 6.4510496 +#> 19 standard 7 1 5.96407114 NA 6.9312560 +#> 20 standard 7 2 7.78129362 NA 6.9312560 +#> 21 standard 7 3 7.04840332 NA 6.9312560 +#> 22 unknown 1 1 0.29944732 FALSE 0.3081251 +#> 23 unknown 1 2 1.44278681 TRUE 0.3081251 +#> 24 unknown 1 3 0.31680284 FALSE 0.3081251 +#> 25 unknown 2 1 2.04091128 FALSE 1.6917238 +#> 26 unknown 2 2 1.34253626 FALSE 1.6917238 +#> 27 unknown 2 3 4.11649562 TRUE 1.6917238 +#> 28 unknown 3 1 3.35549771 TRUE 2.4259320 +#> 29 unknown 3 2 2.43438075 FALSE 2.4259320 +#> 30 unknown 3 3 2.41748323 FALSE 2.4259320 +#> 31 unknown 4 1 3.91031869 FALSE 4.2742497 +#> 32 unknown 4 2 4.63818073 FALSE 4.2742497 +#> 33 unknown 4 3 1.74066013 TRUE 4.2742497 +#> 34 unknown 5 1 5.05531014 FALSE 4.5828051 +#> 35 unknown 5 2 4.57310025 FALSE 4.5828051 +#> 36 unknown 5 3 4.12000481 FALSE 4.5828051 +#> 37 unknown 6 1 5.08349713 TRUE 6.3039575 +#> 38 unknown 6 2 6.18647681 FALSE 6.3039575 +#> 39 unknown 6 3 6.42143827 FALSE 6.3039575 +#> 40 unknown 7 1 7.18561351 FALSE 7.0395659 +#> 41 unknown 7 2 7.03522974 FALSE 7.0395659 +#> 42 unknown 7 3 6.89785447 FALSE 7.0395659 qp_calc_abs_mean(abs, "all") -#> sample_type index rep .abs .is_outlier .mean -#> 1 standard 1 1 1.4409960 FALSE 1.531081 -#> 2 standard 1 2 1.6211667 FALSE 1.531081 -#> 3 standard 1 3 0.1694727 TRUE 1.531081 -#> 4 standard 2 1 2.0392127 FALSE 2.716748 -#> 5 standard 2 2 2.7827729 FALSE 2.716748 -#> 6 standard 2 3 3.3282580 FALSE 2.716748 -#> 7 standard 3 1 4.0431473 FALSE 4.276703 -#> 8 standard 3 2 4.5102595 FALSE 4.276703 -#> 9 standard 3 3 1.2128968 TRUE 4.276703 -#> 10 standard 4 1 4.8941398 FALSE 4.849544 -#> 11 standard 4 2 4.8049476 FALSE 4.849544 -#> 12 standard 4 3 3.0371160 TRUE 4.849544 -#> 13 standard 5 1 4.3774287 TRUE 5.161826 -#> 14 standard 5 2 5.2769662 FALSE 5.161826 -#> 15 standard 5 3 5.0466865 FALSE 5.161826 -#> 16 standard 6 1 6.3621845 FALSE 6.382992 -#> 17 standard 6 2 6.1554484 TRUE 6.382992 -#> 18 standard 6 3 6.4037992 FALSE 6.382992 -#> 19 standard 7 1 5.4353452 TRUE 7.858191 -#> 20 standard 7 2 8.3076995 FALSE 7.858191 -#> 21 standard 7 3 7.4086819 FALSE 7.858191 -#> 22 unknown 1 1 0.6077687 FALSE 0.673318 -#> 23 unknown 1 2 0.1249982 FALSE 0.673318 -#> 24 unknown 1 3 1.2871872 FALSE 0.673318 -#> 25 unknown 2 1 1.5403525 FALSE 1.555610 -#> 26 unknown 2 2 0.2488833 TRUE 1.555610 -#> 27 unknown 2 3 1.5708666 FALSE 1.555610 -#> 28 unknown 3 1 1.9067429 FALSE 3.295292 -#> 29 unknown 3 2 3.1631063 FALSE 3.295292 -#> 30 unknown 3 3 4.8160276 FALSE 3.295292 -#> 31 unknown 4 1 3.8594186 FALSE 3.821733 -#> 32 unknown 4 2 2.1046363 FALSE 3.821733 -#> 33 unknown 4 3 5.5011443 FALSE 3.821733 -#> 34 unknown 5 1 5.9001643 FALSE 6.785549 -#> 35 unknown 5 2 6.8102770 FALSE 6.785549 -#> 36 unknown 5 3 7.6462057 FALSE 6.785549 -#> 37 unknown 6 1 7.7864671 FALSE 7.756621 -#> 38 unknown 6 2 8.2602046 FALSE 7.756621 -#> 39 unknown 6 3 7.2231900 FALSE 7.756621 -#> 40 unknown 7 1 7.3532435 TRUE 7.030760 -#> 41 unknown 7 2 6.9576050 FALSE 7.030760 -#> 42 unknown 7 3 7.1039154 FALSE 7.030760 +#> sample_type index rep .abs .is_outlier .mean +#> 1 standard 1 1 0.40402343 TRUE 2.1724283 +#> 2 standard 1 2 2.07925342 FALSE 2.1724283 +#> 3 standard 1 3 2.26560314 FALSE 2.1724283 +#> 4 standard 2 1 0.03826703 FALSE 0.3760795 +#> 5 standard 2 2 0.71389199 FALSE 0.3760795 +#> 6 standard 2 3 3.04452202 TRUE 0.3760795 +#> 7 standard 3 1 3.42872410 FALSE 3.4505216 +#> 8 standard 3 2 4.62415487 FALSE 3.4505216 +#> 9 standard 3 3 2.29868597 FALSE 3.4505216 +#> 10 standard 4 1 4.11943183 FALSE 4.0749412 +#> 11 standard 4 2 4.03045064 FALSE 4.0749412 +#> 12 standard 4 3 2.54129643 TRUE 4.0749412 +#> 13 standard 5 1 5.13121320 FALSE 5.2703531 +#> 14 standard 5 2 3.90345648 TRUE 5.2703531 +#> 15 standard 5 3 5.40949308 FALSE 5.2703531 +#> 16 standard 6 1 6.71121802 FALSE 6.6218074 +#> 17 standard 6 2 6.10953391 TRUE 6.6218074 +#> 18 standard 6 3 6.53239672 FALSE 6.6218074 +#> 19 standard 7 1 5.96407114 FALSE 6.9312560 +#> 20 standard 7 2 7.78129362 FALSE 6.9312560 +#> 21 standard 7 3 7.04840332 FALSE 6.9312560 +#> 22 unknown 1 1 0.29944732 FALSE 0.3081251 +#> 23 unknown 1 2 1.44278681 TRUE 0.3081251 +#> 24 unknown 1 3 0.31680284 FALSE 0.3081251 +#> 25 unknown 2 1 2.04091128 FALSE 1.6917238 +#> 26 unknown 2 2 1.34253626 FALSE 1.6917238 +#> 27 unknown 2 3 4.11649562 TRUE 1.6917238 +#> 28 unknown 3 1 3.35549771 TRUE 2.4259320 +#> 29 unknown 3 2 2.43438075 FALSE 2.4259320 +#> 30 unknown 3 3 2.41748323 FALSE 2.4259320 +#> 31 unknown 4 1 3.91031869 FALSE 4.2742497 +#> 32 unknown 4 2 4.63818073 FALSE 4.2742497 +#> 33 unknown 4 3 1.74066013 TRUE 4.2742497 +#> 34 unknown 5 1 5.05531014 FALSE 4.5828051 +#> 35 unknown 5 2 4.57310025 FALSE 4.5828051 +#> 36 unknown 5 3 4.12000481 FALSE 4.5828051 +#> 37 unknown 6 1 5.08349713 TRUE 6.3039575 +#> 38 unknown 6 2 6.18647681 FALSE 6.3039575 +#> 39 unknown 6 3 6.42143827 FALSE 6.3039575 +#> 40 unknown 7 1 7.18561351 FALSE 7.0395659 +#> 41 unknown 7 2 7.03522974 FALSE 7.0395659 +#> 42 unknown 7 3 6.89785447 FALSE 7.0395659 # If an `.is_outlier` column is provided, that will be used instead: @@ -293,49 +293,49 @@

Examples qp_calc_abs_mean(abs) #> Data has `.is_outlier` column, using that -#> sample_type index rep .abs .is_outlier .mean -#> 1 standard 1 1 1.4409960 TRUE 1.6211667 -#> 2 standard 1 2 1.6211667 FALSE 1.6211667 -#> 3 standard 1 3 0.1694727 TRUE 1.6211667 -#> 4 standard 2 1 2.0392127 FALSE 2.6837353 -#> 5 standard 2 2 2.7827729 TRUE 2.6837353 -#> 6 standard 2 3 3.3282580 FALSE 2.6837353 -#> 7 standard 3 1 4.0431473 TRUE 4.5102595 -#> 8 standard 3 2 4.5102595 FALSE 4.5102595 -#> 9 standard 3 3 1.2128968 TRUE 4.5102595 -#> 10 standard 4 1 4.8941398 FALSE 3.9656279 -#> 11 standard 4 2 4.8049476 TRUE 3.9656279 -#> 12 standard 4 3 3.0371160 FALSE 3.9656279 -#> 13 standard 5 1 4.3774287 TRUE 5.2769662 -#> 14 standard 5 2 5.2769662 FALSE 5.2769662 -#> 15 standard 5 3 5.0466865 TRUE 5.2769662 -#> 16 standard 6 1 6.3621845 FALSE 6.3829918 -#> 17 standard 6 2 6.1554484 TRUE 6.3829918 -#> 18 standard 6 3 6.4037992 FALSE 6.3829918 -#> 19 standard 7 1 5.4353452 TRUE 8.3076995 -#> 20 standard 7 2 8.3076995 FALSE 8.3076995 -#> 21 standard 7 3 7.4086819 TRUE 8.3076995 -#> 22 unknown 1 1 0.6077687 FALSE 0.9474780 -#> 23 unknown 1 2 0.1249982 TRUE 0.9474780 -#> 24 unknown 1 3 1.2871872 FALSE 0.9474780 -#> 25 unknown 2 1 1.5403525 TRUE 0.2488833 -#> 26 unknown 2 2 0.2488833 FALSE 0.2488833 -#> 27 unknown 2 3 1.5708666 TRUE 0.2488833 -#> 28 unknown 3 1 1.9067429 FALSE 3.3613852 -#> 29 unknown 3 2 3.1631063 TRUE 3.3613852 -#> 30 unknown 3 3 4.8160276 FALSE 3.3613852 -#> 31 unknown 4 1 3.8594186 TRUE 2.1046363 -#> 32 unknown 4 2 2.1046363 FALSE 2.1046363 -#> 33 unknown 4 3 5.5011443 TRUE 2.1046363 -#> 34 unknown 5 1 5.9001643 FALSE 6.7731850 -#> 35 unknown 5 2 6.8102770 TRUE 6.7731850 -#> 36 unknown 5 3 7.6462057 FALSE 6.7731850 -#> 37 unknown 6 1 7.7864671 TRUE 8.2602046 -#> 38 unknown 6 2 8.2602046 FALSE 8.2602046 -#> 39 unknown 6 3 7.2231900 TRUE 8.2602046 -#> 40 unknown 7 1 7.3532435 FALSE 7.2285795 -#> 41 unknown 7 2 6.9576050 TRUE 7.2285795 -#> 42 unknown 7 3 7.1039154 FALSE 7.2285795 +#> sample_type index rep .abs .is_outlier .mean +#> 1 standard 1 1 0.40402343 TRUE 2.0792534 +#> 2 standard 1 2 2.07925342 FALSE 2.0792534 +#> 3 standard 1 3 2.26560314 TRUE 2.0792534 +#> 4 standard 2 1 0.03826703 FALSE 1.5413945 +#> 5 standard 2 2 0.71389199 TRUE 1.5413945 +#> 6 standard 2 3 3.04452202 FALSE 1.5413945 +#> 7 standard 3 1 3.42872410 TRUE 4.6241549 +#> 8 standard 3 2 4.62415487 FALSE 4.6241549 +#> 9 standard 3 3 2.29868597 TRUE 4.6241549 +#> 10 standard 4 1 4.11943183 FALSE 3.3303641 +#> 11 standard 4 2 4.03045064 TRUE 3.3303641 +#> 12 standard 4 3 2.54129643 FALSE 3.3303641 +#> 13 standard 5 1 5.13121320 TRUE 3.9034565 +#> 14 standard 5 2 3.90345648 FALSE 3.9034565 +#> 15 standard 5 3 5.40949308 TRUE 3.9034565 +#> 16 standard 6 1 6.71121802 FALSE 6.6218074 +#> 17 standard 6 2 6.10953391 TRUE 6.6218074 +#> 18 standard 6 3 6.53239672 FALSE 6.6218074 +#> 19 standard 7 1 5.96407114 TRUE 7.7812936 +#> 20 standard 7 2 7.78129362 FALSE 7.7812936 +#> 21 standard 7 3 7.04840332 TRUE 7.7812936 +#> 22 unknown 1 1 0.29944732 FALSE 0.3081251 +#> 23 unknown 1 2 1.44278681 TRUE 0.3081251 +#> 24 unknown 1 3 0.31680284 FALSE 0.3081251 +#> 25 unknown 2 1 2.04091128 TRUE 1.3425363 +#> 26 unknown 2 2 1.34253626 FALSE 1.3425363 +#> 27 unknown 2 3 4.11649562 TRUE 1.3425363 +#> 28 unknown 3 1 3.35549771 FALSE 2.8864905 +#> 29 unknown 3 2 2.43438075 TRUE 2.8864905 +#> 30 unknown 3 3 2.41748323 FALSE 2.8864905 +#> 31 unknown 4 1 3.91031869 TRUE 4.6381807 +#> 32 unknown 4 2 4.63818073 FALSE 4.6381807 +#> 33 unknown 4 3 1.74066013 TRUE 4.6381807 +#> 34 unknown 5 1 5.05531014 FALSE 4.5876575 +#> 35 unknown 5 2 4.57310025 TRUE 4.5876575 +#> 36 unknown 5 3 4.12000481 FALSE 4.5876575 +#> 37 unknown 6 1 5.08349713 TRUE 6.1864768 +#> 38 unknown 6 2 6.18647681 FALSE 6.1864768 +#> 39 unknown 6 3 6.42143827 TRUE 6.1864768 +#> 40 unknown 7 1 7.18561351 FALSE 7.0417340 +#> 41 unknown 7 2 7.03522974 TRUE 7.0417340 +#> 42 unknown 7 3 6.89785447 FALSE 7.0417340