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--- c:ma:2019:assignment_week15 [2019/12/13 10:10] – created hkimscil
+++ c:ma:2019:assignment_week15 [2019/12/13 13:33] (current) – hkimscil
@@ Line 1: / Line 1: @@
+http://commres.net/wiki/sna_eg_stanford/lab06#no_pdf
+<WRAP tip 80%>
+Please follow this procedure for a proper homework.
+  * Please install [[https://cran.r-project.org/bin/windows/Rtools/|rtools 3.5]] along with rstudio.
+  * Also update the R version. The current updated version is [[https://cran.r-project.org/bin/windows/base/|3.6.2]]
+  * Then install "devtools" package
+    * ''%%install.packages("devtools")%%''
+    * devtools will not be installed unless rtools 3.5 is installed.
+  * Then, install packages that are necessary for the analysis
+    * ''%%install.packages("ergm", dependencies = T)%%''
+    * ''%%install.packages("igraph", dependencies = T)%%''
+    * ''%%install.packages("sna", dependencies = T)%%''
+    * ''%%install.packages("statnet", dependencies = T)%%''
+    * etc. . . .
+</WRAP>
 Use Krackhardt's data and apply them to lab06 procedure (clustering social network data).
 Krackhardt's data can be obtained via the below.
@@ Line 4: / Line 22: @@
 <code>
 library(NetData)
-library(igraph)
 data(package="NetData")
 data(kracknets, package = "NetData")
@@ Line 11: / Line 28: @@
 krack_full_data_frame is the same data as used in studentnets.M182 data set (please refer to [[:sna_eg_stanford:lab06]] page).
+Do the following. Please note that
+  * There will be no #4. procedure.
+  * No factor analysis
+  * Instead, you are doing hierarchical clustering with
+    * advice_tie and friendship_tie
+    * advice_tie and reports_to_tie
+Please name variables as the lab06 does.
+<code>
+###
+#1. SETUP
+###
+</code>
+<code>
+###
+#2. LOADING AND FORMATTING DATA
+###
+</code>
+<code>
+###
+# 3.1 HIERARCHICAL CLUSTERING ON advice_tie and reprots_to_tie
+###
+</code>
+<code>
+###
+# 3.2 HIERARCHICAL CLUSTERING ON advice_tie and friendship_tie
+###
+</code>