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knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
semnova()
functionThis is a simple example how to use semnova()
function.
library(semnova) set.seed(323412431) data("semnova_test_data", package = "semnova") idata <- expand.grid(A = c("A1", "A2", "A3"), B = c("B1", "B2")) mmodel <- create_mmodel( A1B1 = "var1", A2B1 = "var2", A3B1 = "var3", A1B2 = "var4", A2B2 = "var5", A3B2 = "var6", lv_scaling = "referent" ) fit_semnova <- semnova( formula = cbind(A1B1, A2B1, A3B1, A1B2, A2B2, A3B2) ~ 1, data = semnova_test_data, idata = idata, idesign = ~ A * B, mmodel = mmodel ) summary(fit_semnova)
lgc()
functionThis is a simple example how to use lgc()
function.
library(semnova) set.seed(323412431) data("semnova_test_data", package = "semnova") mmodel <- create_mmodel( A1B1 = "var1", A2B1 = "var2", A3B1 = "var3", A1B2 = "var4", A2B2 = "var5", A3B2 = "var6", lv_scaling = "referent" ) hypotheses <- list( Intercept = c(1), A = c(2, 3), B = c(4), AB = c(5, 6) ) C_matrix <- matrix( c( 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1,-1,-1, 1,-1,-1, 1, 1, 0,-1,-1, 0, 1, 0, 1,-1, 0,-1, 1,-1,-1,-1, 1, 1 ), nrow = 6 ) fit_lgc <- lgc( data = semnova_test_data, mmodel = mmodel, C_matrix = C_matrix, hypotheses = hypotheses ) summary(fit_lgc)
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