sem package in R: a sample of transaction cost measurement
A sneak peek of the result of a Structural Equation Model using sem package in R.
I will present in the R User Conference in Warwick next week, is reveal first here.
The following are the codes of ‘sem’ package I used in the paper.
You may also view the code of other packages to run SEM models as well.
##-------------------------------------------------## ## Measuring Transaction Cost in Supply Chains ## ## Pairach Piboonrungroj ## ## R useR conference August 2011 ## ##-------------------------------------------------## install.packages("sem") library(sem) # 1. Load data hoteldata <- read.csv("http://dl.dropbox.com/u/46344142/useR2011/cleandata.csv") #Input covariance matrix data.tc.1 <- cor(hoteldata) # Have a look at the top of the data # to check it we import the right one head(data.tc.1) #Create an object contains correlation matrix of the data for fitting the model in the next step hotel.cor <- cor(hoteldata) # path parameter start-value model.TC.1 <- specify.model() TC -> TC1, gamma1, NA # measurement item TC -> TC2, gamma2, NA TC -> TC3, gamma3, NA TC -> TC6, gamma6, NA TC -> TC7, gamma7, NA TC -> TC11, gamma11, NA TC -> TC13, gamma13, NA TC1 <-> TC1, e1, NA # measurement error TC2 <-> TC2, e2, NA TC3 <-> TC3, e3, NA TC6 <-> TC6, e6, NA TC7 <-> TC7, e7, NA TC11 <-> TC11, e11, NA TC13 <-> TC13, e13, NA TC <-> TC, NA, 1 model.TC.1 sem.TC.1 <- sem(model.TC.1, data.tc.1, 53) # print result (fit indices, parameters, hypothesis tests) summary(sem.TC.1) # standardised coefficients (loadings) std.coef(sem.TC.1)
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