diff --git a/test.R b/test.R
deleted file mode 100644
index 9d8cef4..0000000
--- a/test.R
+++ /dev/null
@@ -1,77 +0,0 @@
-df = cjpowr_amce(amce = 0.05, power = 0.8, levels = 5)
-
-# For example, for a conjoint with 2 profiles and 4 tasks, n becomes:
-df$n/(2*4)
-
-#This gives the power (type S, E(type M)):
-cjpowr_amce(amce = 0.05, n = 7829.258, levels = 5)
-
-#Generating an interactive plot for type M error:
-d <- expand.grid(
- amce = c(0.01, 0.02, 0.03, 0.05),
- n = seq(from = 100, to = 50000, length.out = 1000),
- alpha = 0.05,
- levels = 2,
- treat.prob = 0.5,
- sims = 10000)
-
-df <- list2DF(do.call(cjpowr_amce, d))
-
-
-d <- expand.grid(
- amce = c(0.01, 0.02, 0.03, 0.05),
- power = seq(from = 0, to = 1, length.out = 1000),
- alpha = 0.05,
- levels = 2,
- treat.prob = 0.5,
- sims = 10000 # set to 0 if you want to plot something else than Type M error
- )
-
-df <- list2DF(do.call(cjpowr_amce, d))
-
-
-library(plotly)
-plot_ly(df, x = ~power, y = ~n, type = 'scatter', mode = 'lines', linetype = ~amce) %>%
- layout(
- xaxis = list(title = "Effective Sample Size",
- zeroline = F,
- hoverformat = '.0f'),
- yaxis = list(title = "n",
- range = c(0,10),
- zeroline = F,
- hoverformat = '.2f'),
- legend=list(title=list(text=' AMCE ')),
- hovermode = "x unified"
- )
-
-
-d <- expand.grid(
- delta3 = c(0.01, 0.02, 0.03, 0.05),
- n = seq(from = 100, to = 50000, length.out = 1000),
- delta0 = 0.5,
- delta1 = 0,
- alpha = 0.05,
- levels1 = 3,
- levels2 = 4,
- p00 = 0.4, p10 = 0.4, p01 = 0.1, p11 = 0.1,
- sims = 10000
- )
-
-df <- list2DF(do.call(cjpowr_amcie, d))
-
-cjpowr_amcie(delta3 = 0.05, levels1=3, levels2=3, power=0.8)
-
-
-plot_ly(df, x = ~n, y = ~exp_typeM, type = 'scatter', mode = 'lines', linetype = ~delta3) %>%
- layout(
- xaxis = list(title = "Effective Sample Size",
- zeroline = F,
- hoverformat = '.0f'),
- yaxis = list(title = "Exaggeration Ratio",
- range = c(0,10),
- zeroline = F,
- hoverformat = '.2f'),
- legend=list(title=list(text=' AMCIE ')),
- hovermode = "x unified"
- )
-