degree.cent <- centr_degree(g, mode = "all") degree.cent$res degree.cent$centralization degree.cent$theoretical_max

I came across this via the cran.r-project, referred to be a computer scientist at an NIH lecture. It might be an interesting source to see code-sharing norms and practices.

hi there please check on the Recent Updated SAS Training and Tutorial Course which can explain about the SAS and its integration with the R as well so please go through the Link:-

https://www.youtube.com/watch?v=IOxaKq4lB-0

Robert Frosts, Mending Wall

Updated annotation.

Updated annotation.

Data analysis course using R

Data analysis courses using R and Python

Teaching Yourself to Code in DH

Andreas Ihlebæk: The Guest [oooo]

VÖ: 26.5.2017

AppleMusic / iTunes

Tora: Take A Rest [ooo]

VÖ: 9.6.2017

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Nils Wülker: On [ooo]

VÖ: 2.6.2017

AppleMusic

The National Research Council (NRC) is an organization within the Government of Canada dedicated to research and development. Today, the NRC works with members of the Canadian industry to provide meaningful research and development for many different types of products. The areas of research and development that the NRC participates in include aerospace, aquatic and crop resource development, automotive and surface transportation, construction, energy, mining, and environment, human health therapeutics, information and communications technologies, measurement science standards, medical devices, astronomy and astrophysics, ocean, coastal, and river engineering, and security and disruptive technologies. The NRC employs scientists, engineers, and business experts. The mission of the NRC is as follows: “Working with clients and partners, we provide innovation support, strategic research, scientific and technical services to develop and deploy solutions to meet Canada's current and future industrial and societal needs.” The main values of the NRC include impact, accountability, leadership, integrity, and collaboration. The most recent success stories of the NRC include research regarding “green buildings,” math games, mechanical insulation, and many more (Government of Canada 2017). Here is a link to their achievement page where these stories and more are posted: http://www.nrc-cnrc.gc.ca/eng/achievements/index.html. Here is a link to the NRC webpage: http://www.nrc-cnrc.gc.ca/eng/index.html.  

References

Government of Canada. 2017. National Research Council Canada. May 5. Accessed May 8, 2017. http://www.nrc-cnrc.gc.ca/eng/index.html.

This one was easy! Getting good a good directed network to play around with it with into R and able to be modified was... way harder than getting this info.

reciprocity(g, ignore.loops = TRUE)

There is an additional mode operator where if you put the mode = ("ratio") it calculates (unordered) vertex pairs are classified into three groups: (1) not-connected, (2) non-reciprocaly connected, (3) reciprocally connected. The result is the size of group (3), divided by the sum of group sizes (2)+(3).

Centralization interests me for analyzing discussion forums--are there key players, and do these key players show higher degrees of cognitive presence?

Calculating for centralization by number of connections seems quite straightforward in R: centralization.degree

I am very interested in clustering measures, because I plan to analyze data from a Slack group that I am a part of, where I suspect there are many subgroups who only interact with each other.

After looking around for some different clustering algorithms, I found the "cluster_label_prop" function in the igraph package, which seems to do what I would like to do. To summarize, this function automatically detects groups within a network by initially labeling every node with a unique label and at every step each node adopts the label that most of its neighbors currently have. In this iterative process densely connected groups of nodes form a consensus on a unique label to form communities.

There seem to be many different ways to define clustering though, so I am sure that I will need to do more research on the topic of clustering as I move forward with my research project.

repeats "last rain" telling the reader there is a drought

This is incredible! Thank you for sharing this link.

Steinbeck groups the Western states together in one entity that feels and experiences the same nervous energy, like that of horses. The repetition of this idea throughout Ch. 14 serves to underscore the unity of these states as a single group separate and distinct from the rest of the country.

How would this be enforced exactly?

Good way to look at it.

Some calcifying species were indeed abundant in the Cretaceous, a time at which the atmospheric CO2 concentration was high. However, seawater alkalinity was also high due to intense weathering on land. Hence, the concentration of carbonate ions (CO3, which controls calcification) was elevated. That compensation does not happen today and will not happen in the near future because total alkalinity does not change significantly on time scales of centuries. There is ample evidence in the literature for that.

R made me!

Naturally, not every student is capable of reaching those high standards but, ability based grouping will help those students reach those standards.

This prevents the one or two "smart" students in the group from doing all the work because all the students are on the same academic level.

This is probably the most apparent benefit to ability based grouping.

This is how i envision the education system should look.

The textured beef is made of just scraps and waste that was not going to be put into food.

very useful article on apply functions in r

Troubleshooting csv file - step 1.