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. 

<code>
library(NetData)
data(package="NetData")
data(kracknets, package = "NetData")
head(krack_full_data_frame)
</code>

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>