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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -2,8 +2,8 @@ Type: Package
 Package: CroPlotR
 Title: A Package to Analyze Crop Model Simulations Outputs with Plots and
     Statistics
-Version: 0.9.0
-Date: 2023-01-12
+Version: 0.10.0
+Date: 2024-03-28
 Authors@R: c(
     person("Remi", "Vezy", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-0808-1461")),

diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,17 @@
+# CroPlotR 0.10.0
+
+## Minor improvements and bug fixes
+
+* Character vectors in simulated results no more mess up dynamic graphs
+* Filtered zeros in obs/sim vectors when they are used as denominator in stat. criteria (=> MAPE and RME no more take Inf values)
+* An error is now detected when plots of unknown variables are requested
+* Added tests to automatically compare generated graphs with reference ones
+* Fixed a few other bugs (missing regression line for scatter plots in some cases, number of labels for shape_sit="txt", ...)
+
+## Misc.
+
+* Changed license to LGPL
+
 # CroPlotR 0.9.0
 
 ## New features

diff --git a/README.Rmd b/README.Rmd
@@ -465,7 +465,10 @@ knitr::kable(s)
 Note that as for the `plot()` function the `obs` argument is explicitly
 named. This is because the first argument of the function is `...` to be
 able to compare groups (i.e. model versions or simulation with different
-parameter values).
+parameter values). In this example, a message warns the user because
+some observed values have a zero value which causes a division by zero
+in the calculation of certain statistical criteria, these values are
+therefore filtered for the calculation of these criteria.
 
 And as for the `plot()` function again, it is possible to compute the
 statistical criteria for all situations at once.

diff --git a/README.md b/README.md
@@ -123,18 +123,18 @@ sim <- SticsRFiles::get_sim(
   workspace = workspace,
   usms_file = file.path(workspace, "usms.xml")
 )
-#> [1] "mod_spIC_Wheat_Pea_2005-2006_N0.sti" "mod_saIC_Wheat_Pea_2005-2006_N0.sti"
-#> [1] "mod_sSC_Pea_2005-2006_N0.sti"
-#> [1] "mod_sSC_Wheat_2005-2006_N0.sti"
+#> mod_spIC_Wheat_Pea_2005-2006_N0.stimod_saIC_Wheat_Pea_2005-2006_N0.sti
+#> mod_sSC_Pea_2005-2006_N0.sti
+#> mod_sSC_Wheat_2005-2006_N0.sti
 
 obs <- SticsRFiles::get_obs(
   workspace =  workspace,
   usm = situations,
   usms_file = file.path(workspace, "usms.xml")
 )
-#> [1] "IC_Wheat_Pea_2005-2006_N0p.obs" "IC_Wheat_Pea_2005-2006_N0a.obs"
-#> [1] "SC_Pea_2005-2006_N0.obs"
-#> [1] "SC_Wheat_2005-2006_N0.obs"
+#> IC_Wheat_Pea_2005-2006_N0p.obsIC_Wheat_Pea_2005-2006_N0a.obs
+#> SC_Pea_2005-2006_N0.obs
+#> SC_Wheat_2005-2006_N0.obs
 ```
 
 ### 2.1 Plotting
@@ -218,9 +218,9 @@ sim_rot <- SticsRFiles::get_sim(
   usm = situations,
   usms_file = file.path(workspace, "usms.xml")
 )
-#> [1] "mod_sdemo_Wheat1.sti"
-#> [1] "mod_sdemo_BareSoil2.sti"
-#> [1] "mod_sdemo_maize3.sti"
+#> mod_sdemo_Wheat1.sti
+#> mod_sdemo_BareSoil2.sti
+#> mod_sdemo_maize3.sti
 
 plot(
   sim_rot,
@@ -436,7 +436,7 @@ sim2 <- SticsRFiles::get_sim(
   workspace = workspace2,
   usms_file = file.path(workspace2, "usms.xml")
 )
-#> [1] "mod_spIC_Wheat_Pea_2005-2006_N0.sti" "mod_saIC_Wheat_Pea_2005-2006_N0.sti"
+#> mod_spIC_Wheat_Pea_2005-2006_N0.stimod_saIC_Wheat_Pea_2005-2006_N0.sti
 
 plot(sim, sim2, obs = obs, all_situations = FALSE)
 #> $`IC_Wheat_Pea_2005-2006_N0`
@@ -525,9 +525,12 @@ Here is an application of summary statistics for the 3 situations:
 summary(sim, obs = obs, all_situations = FALSE)
 ```
 
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+
 | group     | situation                 | variable | n_obs | mean_obs |  mean_sim |   r_means |    sd_obs |    sd_sim |   CV_obs |   CV_sim |        R2 |    SS_res |      Inter |     Slope |      RMSE |     RMSEs |     RMSEu |    nRMSE |     rRMSE |    rRMSEs |    rRMSEu |     pMSEs |     pMSEu |     Bias2 |      SDSD |       LCS |    rbias2 |     rSDSD |      rLCS |       MAE |       FVU |       MSE |         EF |       Bias |       ABS |      MAPE |        RME |      tSTUD |   tLimit | Decision |
 |:----------|:--------------------------|:---------|------:|---------:|----------:|----------:|----------:|----------:|---------:|---------:|----------:|----------:|-----------:|----------:|----------:|----------:|----------:|---------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|-----------:|-----------:|----------:|----------:|-----------:|-----------:|---------:|:---------|
-| Version_1 | IC_Wheat_Pea_2005-2006_N0 | lai_n    |     8 | 0.762500 | 0.6135987 |  80.47197 | 0.6326306 | 0.5508654 | 82.96794 | 89.77616 | 0.8082574 | 0.7167893 |  0.0166871 | 0.7828349 | 0.2993304 | 0.1966900 | 0.2256362 | 39.25644 | 0.3925644 | 0.2579541 | 0.2959163 | 0.4317805 | 0.5682195 | 0.0221716 | 0.0066855 | 0.0703740 | 0.0381344 | 0.0114989 | 0.1210410 | 0.2323863 | 0.1925422 | 0.0895987 |  0.7441455 | -0.1489013 | 0.2323863 |       Inf |        Inf | -1.5171559 | 2.364624 | OK       |
+| Version_1 | IC_Wheat_Pea_2005-2006_N0 | lai_n    |     8 | 0.762500 | 0.6135987 |  80.47197 | 0.6326306 | 0.5508654 | 82.96794 | 89.77616 | 0.8082574 | 0.7167893 |  0.0166871 | 0.7828349 | 0.2993304 | 0.1966900 | 0.2256362 | 39.25644 | 0.3925644 | 0.2579541 | 0.2959163 | 0.4317805 | 0.5682195 | 0.0221716 | 0.0066855 | 0.0703740 | 0.0381344 | 0.0114989 | 0.1210410 | 0.2323863 | 0.1925422 | 0.0895987 |  0.7441455 | -0.1489013 | 0.2323863 | 0.3156233 | -0.2466048 | -1.5171559 | 2.364624 | OK       |
 | Version_1 | IC_Wheat_Pea_2005-2006_N0 | masec_n  |    10 | 3.450000 | 3.2975700 |  95.58174 | 1.9615810 | 2.1296432 | 56.85742 | 64.58220 | 0.9631080 | 1.8866224 | -0.3782750 | 1.0654623 | 0.4343527 | 0.1951283 | 0.3880557 | 12.58993 | 0.1258993 | 0.0565589 | 0.1124799 | 0.2018159 | 0.7981841 | 0.0232349 | 0.0282449 | 0.1555633 | 0.0019521 | 0.0023730 | 0.0130698 | 0.3477720 | 0.0477697 | 0.1886622 |  0.9455209 | -0.1524300 | 0.3477720 | 0.1927375 | -0.1469491 | -1.1243151 | 2.262157 | OK       |
 | Version_1 | SC_Pea_2005-2006_N0       | lai_n    |     3 | 2.622222 | 1.7386367 |  66.30394 | 1.5135732 | 1.3463799 | 57.72101 | 77.43883 | 0.6945994 | 3.7558828 | -0.2053841 | 0.7413638 | 1.1189106 | 0.9396204 | 0.6075149 | 42.67032 | 0.4267032 | 0.3583298 | 0.2316794 | 0.7052029 | 0.2947971 | 0.7807234 | 0.0279536 | 0.6789027 | 0.1135424 | 0.0040654 | 0.0987344 | 0.8835856 | 0.3085491 | 1.2519609 |  0.1802618 | -0.8835856 | 0.8835856 | 0.3901011 | -0.3901011 | -1.8203030 | 4.302653 | OK       |
 | Version_1 | SC_Pea_2005-2006_N0       | masec_n  |     4 | 5.451667 | 4.3825425 |  80.38904 | 3.7848396 | 3.7494028 | 69.42537 | 85.55314 | 0.8907017 | 9.3636018 | -0.7144037 | 0.9349336 | 1.5300001 | 1.0901888 | 1.0734937 | 28.06481 | 0.2806481 | 0.1999735 | 0.1969111 | 0.5077156 | 0.4922844 | 1.1430265 | 0.0012558 | 1.5959095 | 0.0384590 | 0.0000423 | 0.0536970 | 1.1660625 | 0.1114949 | 2.3409005 |  0.7821153 | -1.0691242 | 1.1660625 | 0.3308096 | -0.3198354 | -1.6919332 | 3.182446 | OK       |
@@ -537,7 +540,10 @@ summary(sim, obs = obs, all_situations = FALSE)
 Note that as for the `plot()` function the `obs` argument is explicitly
 named. This is because the first argument of the function is `...` to be
 able to compare groups (i.e. model versions or simulation with different
-parameter values).
+parameter values). In this example, a message warns the user because
+some observed values have a zero value which causes a division by zero
+in the calculation of certain statistical criteria, these values are
+therefore filtered for the calculation of these criteria.
 
 And as for the `plot()` function again, it is possible to compute the
 statistical criteria for all situations at once.
@@ -546,9 +552,12 @@ statistical criteria for all situations at once.
 summary(sim, obs = obs, all_situations = TRUE)
 ```
 
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+
 | group     | situation      | variable | n_obs | mean_obs | mean_sim |  r_means |   sd_obs |    sd_sim |   CV_obs |   CV_sim |        R2 |   SS_res |      Inter |     Slope |      RMSE |     RMSEs |     RMSEu |    nRMSE |     rRMSE |    rRMSEs |    rRMSEu |     pMSEs |     pMSEu |     Bias2 |      SDSD |       LCS |    rbias2 |     rSDSD |      rLCS |       MAE |       FVU |      MSE |        EF |       Bias |       ABS |      MAPE |        RME |      tSTUD |   tLimit | Decision |
 |:----------|:---------------|:---------|------:|---------:|---------:|---------:|---------:|----------:|---------:|---------:|----------:|---------:|-----------:|----------:|----------:|----------:|----------:|---------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|---------:|----------:|-----------:|----------:|----------:|-----------:|-----------:|---------:|:---------|
-| Version_1 | all_situations | lai_n    |    14 | 1.270476 | 1.023683 | 80.57474 | 1.085427 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.57851 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.398465 | 0.6357717 | -0.2467933 | 0.4317590 |       Inf |        Inf | -1.5315489 | 2.160369 | OK       |
+| Version_1 | all_situations | lai_n    |    14 | 1.270476 | 1.023683 | 80.57474 | 1.085427 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.57851 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.398465 | 0.6357717 | -0.2467933 | 0.4317590 | 0.3773867 | -0.1751950 | -1.5315489 | 2.160369 | OK       |
 | Version_1 | all_situations | masec_n  |    18 | 4.326759 | 4.142749 | 95.74715 | 2.710052 | 2.9836105 | 62.63468 | 72.02007 | 0.8994510 | 16.06896 | -0.3749370 | 1.0441269 | 0.9448386 | 0.2176378 | 0.9194312 | 21.83710 | 0.2183710 | 0.0503004 | 0.2124988 | 0.0530583 | 0.9469417 | 0.0338598 | 0.0748344 | 0.8345469 | 0.0018087 | 0.0039974 | 0.0445785 | 0.5905878 | 0.1238200 | 0.892720 | 0.8712985 | -0.1840104 | 0.5905878 | 0.1998423 | -0.1334603 | -0.8186637 | 2.109816 | OK       |
 
 #### 2.2.2 Several groups
@@ -560,11 +569,16 @@ simulations objects one after the other (as for the `plot()` function).
 summary(sim, sim2, obs = obs)
 ```
 
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+
 | group     | situation      | variable | n_obs | mean_obs |  mean_sim |  r_means |    sd_obs |    sd_sim |   CV_obs |   CV_sim |        R2 |    SS_res |      Inter |     Slope |      RMSE |     RMSEs |     RMSEu |    nRMSE |     rRMSE |    rRMSEs |    rRMSEu |     pMSEs |     pMSEu |     Bias2 |      SDSD |       LCS |    rbias2 |     rSDSD |      rLCS |       MAE |       FVU |       MSE |         EF |       Bias |       ABS |      MAPE |        RME |      tSTUD |   tLimit | Decision |
 |:----------|:---------------|:---------|------:|---------:|----------:|---------:|----------:|----------:|---------:|---------:|----------:|----------:|-----------:|----------:|----------:|----------:|----------:|---------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|-----------:|-----------:|----------:|----------:|-----------:|-----------:|---------:|:---------|
-| Version_1 | all_situations | lai_n    |    14 | 1.270476 | 1.0236829 | 80.57474 | 1.0854269 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.578510 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.3984650 |  0.6357717 | -0.2467933 | 0.4317590 |       Inf |        Inf | -1.5315489 | 2.160369 | OK       |
+| Version_1 | all_situations | lai_n    |    14 | 1.270476 | 1.0236829 | 80.57474 | 1.0854269 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.578510 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.3984650 |  0.6357717 | -0.2467933 | 0.4317590 | 0.3773867 | -0.1751950 | -1.5315489 | 2.160369 | OK       |
 | Version_1 | all_situations | masec_n  |    18 | 4.326759 | 4.1427489 | 95.74715 | 2.7100517 | 2.9836105 | 62.63468 | 72.02007 | 0.8994510 | 16.068959 | -0.3749370 | 1.0441269 | 0.9448386 | 0.2176378 | 0.9194312 | 21.83710 | 0.2183710 | 0.0503004 | 0.2124988 | 0.0530583 | 0.9469417 | 0.0338598 | 0.0748344 | 0.8345469 | 0.0018087 | 0.0039974 | 0.0445785 | 0.5905878 | 0.1238200 | 0.8927200 |  0.8712985 | -0.1840104 | 0.5905878 | 0.1998423 | -0.1334603 | -0.8186637 | 2.109816 | OK       |
-| Version_2 | all_situations | lai_n    |     8 | 0.762500 | 0.5993112 | 78.59820 | 0.6326306 | 0.4383225 | 82.96794 | 73.13770 | 0.1192180 |  3.019054 |  0.4168988 | 0.2392294 | 0.6143141 | 0.4788662 | 0.3847972 | 80.56578 | 0.8056578 | 0.6280213 | 0.5046521 | 0.6076416 | 0.3923584 | 0.0266306 | 0.0377556 | 0.3631029 | 0.0458037 | 0.0649385 | 0.6245253 | 0.5046413 | 1.0015919 | 0.3773818 | -0.0776372 | -0.1631888 | 0.5046413 |       Inf |        Inf | -0.7290203 | 2.364624 | OK       |
+| Version_2 | all_situations | lai_n    |     8 | 0.762500 | 0.5993112 | 78.59820 | 0.6326306 | 0.4383225 | 82.96794 | 73.13770 | 0.1192180 |  3.019054 |  0.4168988 | 0.2392294 | 0.6143141 | 0.4788662 | 0.3847972 | 80.56578 | 0.8056578 | 0.6280213 | 0.5046521 | 0.6076416 | 0.3923584 | 0.0266306 | 0.0377556 | 0.3631029 | 0.0458037 | 0.0649385 | 0.6245253 | 0.5046413 | 1.0015919 | 0.3773818 | -0.0776372 | -0.1631888 | 0.5046413 | 0.5726006 | -0.2460595 | -0.7290203 | 2.364624 | OK       |
 | Version_2 | all_situations | masec_n  |    10 | 3.450000 | 3.3168750 | 96.14130 | 1.9615810 | 3.2725657 | 56.85742 | 98.66412 | 0.6237332 | 39.937521 | -1.2288238 | 1.3175938 | 1.9984374 | 0.6058240 | 1.9043974 | 57.92572 | 0.5792572 | 0.1756012 | 0.5519992 | 0.0918992 | 0.9081008 | 0.0177223 | 1.7186808 | 2.6991301 | 0.0014890 | 0.1443966 | 0.2267700 | 1.7338590 | 1.1481394 | 3.9937521 | -0.1532570 | -0.1331250 | 1.7338590 | 0.5148451 | -0.1538282 | -0.2002885 | 2.262157 | OK       |
 
 We can also name the corresponding group in the plot by naming them
@@ -574,11 +588,16 @@ while passing to the `summary()` function:
 summary("New version" = sim, original = sim2, obs = obs)
 ```
 
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+    #> Attention: some observed values are zero. They are filtered for the computation of MAPE
+    #> Attention: some observed values are zero. They are filtered for the computation of RME
+
 | group       | situation      | variable | n_obs | mean_obs |  mean_sim |  r_means |    sd_obs |    sd_sim |   CV_obs |   CV_sim |        R2 |    SS_res |      Inter |     Slope |      RMSE |     RMSEs |     RMSEu |    nRMSE |     rRMSE |    rRMSEs |    rRMSEu |     pMSEs |     pMSEu |     Bias2 |      SDSD |       LCS |    rbias2 |     rSDSD |      rLCS |       MAE |       FVU |       MSE |         EF |       Bias |       ABS |      MAPE |        RME |      tSTUD |   tLimit | Decision |
 |:------------|:---------------|:---------|------:|---------:|----------:|---------:|----------:|----------:|---------:|---------:|----------:|----------:|-----------:|----------:|----------:|----------:|----------:|---------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|----------:|-----------:|-----------:|----------:|----------:|-----------:|-----------:|---------:|:---------|
-| New version | all_situations | lai_n    |    14 | 1.270476 | 1.0236829 | 80.57474 | 1.0854269 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.578510 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.3984650 |  0.6357717 | -0.2467933 | 0.4317590 |       Inf |        Inf | -1.5315489 | 2.160369 | OK       |
+| New version | all_situations | lai_n    |    14 | 1.270476 | 1.0236829 | 80.57474 | 1.0854269 | 0.8698547 | 85.43465 | 84.97306 | 0.6923882 |  5.578510 |  0.1764799 | 0.6668389 | 0.6312408 | 0.4270089 | 0.4648960 | 49.68537 | 0.4968537 | 0.3361015 | 0.3659227 | 0.4575977 | 0.5424023 | 0.0609069 | 0.0464714 | 0.3170527 | 0.0377341 | 0.0287907 | 0.1964257 | 0.4317590 | 0.3085546 | 0.3984650 |  0.6357717 | -0.2467933 | 0.4317590 | 0.3773867 | -0.1751950 | -1.5315489 | 2.160369 | OK       |
 | New version | all_situations | masec_n  |    18 | 4.326759 | 4.1427489 | 95.74715 | 2.7100517 | 2.9836105 | 62.63468 | 72.02007 | 0.8994510 | 16.068959 | -0.3749370 | 1.0441269 | 0.9448386 | 0.2176378 | 0.9194312 | 21.83710 | 0.2183710 | 0.0503004 | 0.2124988 | 0.0530583 | 0.9469417 | 0.0338598 | 0.0748344 | 0.8345469 | 0.0018087 | 0.0039974 | 0.0445785 | 0.5905878 | 0.1238200 | 0.8927200 |  0.8712985 | -0.1840104 | 0.5905878 | 0.1998423 | -0.1334603 | -0.8186637 | 2.109816 | OK       |
-| original    | all_situations | lai_n    |     8 | 0.762500 | 0.5993112 | 78.59820 | 0.6326306 | 0.4383225 | 82.96794 | 73.13770 | 0.1192180 |  3.019054 |  0.4168988 | 0.2392294 | 0.6143141 | 0.4788662 | 0.3847972 | 80.56578 | 0.8056578 | 0.6280213 | 0.5046521 | 0.6076416 | 0.3923584 | 0.0266306 | 0.0377556 | 0.3631029 | 0.0458037 | 0.0649385 | 0.6245253 | 0.5046413 | 1.0015919 | 0.3773818 | -0.0776372 | -0.1631888 | 0.5046413 |       Inf |        Inf | -0.7290203 | 2.364624 | OK       |
+| original    | all_situations | lai_n    |     8 | 0.762500 | 0.5993112 | 78.59820 | 0.6326306 | 0.4383225 | 82.96794 | 73.13770 | 0.1192180 |  3.019054 |  0.4168988 | 0.2392294 | 0.6143141 | 0.4788662 | 0.3847972 | 80.56578 | 0.8056578 | 0.6280213 | 0.5046521 | 0.6076416 | 0.3923584 | 0.0266306 | 0.0377556 | 0.3631029 | 0.0458037 | 0.0649385 | 0.6245253 | 0.5046413 | 1.0015919 | 0.3773818 | -0.0776372 | -0.1631888 | 0.5046413 | 0.5726006 | -0.2460595 | -0.7290203 | 2.364624 | OK       |
 | original    | all_situations | masec_n  |    10 | 3.450000 | 3.3168750 | 96.14130 | 1.9615810 | 3.2725657 | 56.85742 | 98.66412 | 0.6237332 | 39.937521 | -1.2288238 | 1.3175938 | 1.9984374 | 0.6058240 | 1.9043974 | 57.92572 | 0.5792572 | 0.1756012 | 0.5519992 | 0.0918992 | 0.9081008 | 0.0177223 | 1.7186808 | 2.6991301 | 0.0014890 | 0.1443966 | 0.2267700 | 1.7338590 | 1.1481394 | 3.9937521 | -0.1532570 | -0.1331250 | 1.7338590 | 0.5148451 | -0.1538282 | -0.2002885 | 2.262157 | OK       |
 
 By default, all statistics are returned by `summary`, but you can filter

diff --git a/man/figures/README-unnamed-chunk-17-1.png b/man/figures/README-unnamed-chunk-17-1.png