# Expected only using all 10,000 parameter sets
+ # Using a pre-loaded parameter set (all 10,000 parameter sets)
result <- flow_frequency_sampler_expected(jmd_bf_parameter_sets,
Nbin = 20, Mevent = 500)
dim(result$flow) # 500 x 20
#> [1] 500 20
-jmd_result <- flow_frequency_sampler_expected(
- jmd_samples$params,
- freq_dist = "LP3",
- Nbin = 20,
- Mevent = 500)
-#> Error: object 'jmd_samples' not found
# Using bootstrapped parameter samples
jmd_samples <- bootstrap_vfc(
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 999a250..e307376 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -7,7 +7,7 @@
rfaR
- 0.5.0
+ 0.5.1
Value
@@ -139,7 +146,15 @@
Examplesstrat <- stratified_sampler()
# Custom bins and events
-strat <- stratified_sampler(minAEP = 1E-6, maxAEP = 0.5, dist = "EV1", Nbins = 10, Mevents = 100)
+strat <- stratified_sampler(minAEP = 1E-6,
+ maxAEP = 0.5,
+ dist = "EV1",
+ Nbins = 10,
+ Mevents = 100)
+
+# With verbose message
+strat <- stratified_sampler(verbose = TRUE)
+#> ✔ Stratification complete: 20 bins, 500 events per bin ("ev1" space).