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william doane search primary menu skip to content teaching philosophy research interests about me curriculum vitae pdf format biography contact me general course related recommendation request technology troubleshooting fork me on github privacy policy search for: writing writing research well 2018 august 23 william doane leave a comment newcomers to writing nonfiction research—often new phd students—may find the research process and the formal structure of research documents daunting. here are a few resources both on research writing and on the writing craft itself that i found useful when i was starting to hone my skill. and, yes, writing is a skill; you can improve your writing through practice. above all, seek out and be open to feedback. anyone who is willing to offer honest feedback on your writing to help you improve it is valuable. the craft of research by wayne booth, et al a manual for writers of research papers, theses, and dissertations by kate turabian, et al on writing well by william zinsser the professor is in by karen kelsky avoid strunk and white . it’s an interesting historical read, but much of the advice is either incorrect or outdated, by modern standards. quotations on finding your voice 2018 august 01 william doane leave a comment ”you find your own voice by reading the poetry of others” ~billy collins, poet, as cited by alan alda programming , r writing pipe-friendly functions 2018 july 08 william doane 1 comment pipes have been a fundamental aspect of computer programming for many decades. in short, the semantics of pipes can be thought of as taking the output from the left-hand side and passing it as input to the right-hand side. for example, in a linux shell, you might cat example.txt | sort | uniq to take the contents of a text file, then sort the rows, then take one copy of each distinct value. | is a common, but not universal, pipe operator and on u.s. qwerty keyboards, is found above the return key along with the backslash: \ . languages that don’t begin by supporting pipes often eventually implement some version of them. in r, the magrittr package introduced the %>% infix operator as a pipe operator and is most often pronounced as “then”. for example, “take the mtcars data.frame, then take the head of it, then…” and so on. continue reading writing pipe-friendly functions → programming , r three deep truths about r 2018 june 29 william doane leave a comment everything that exists in r is an object ~ john m. chambers everything that happens in r is the result of a function call ~ john m. chambers names have objects; objects don’t have names ~ hadley wickham so, what are the implications of these statements? continue reading three deep truths about r → video and audio science and communication: alan alda in conversation with neil degrasse tyson 2018 june 17 william doane leave a comment despite the reality that we use tools and techniques every moment of every day that have been devised and revised through the constant questioning and reflecting process we call science , far too many people don’t believe they understand what science is, don’t consider themselves scientists, and don’t trust the expert opinions of the scientific community. how can that possibly be? “we’re not really listening, unless we’re willing to be changed by the other person.” ~ alan alda science and communication—alan alda and neil degrasse tyson at the 92nd street y in new york city tips & best practices , tools stay secure 2018 june 16 william doane leave a comment security is a tricky affair: it’s difficult to establish, to maintain, and to verify. take all the steps you can to keep your data and devices secure. backup , keeping a copy in your home and somewhere outside your home that you consider safe and are likely to be able to access in an emergency. secure , so that only you and those you trust can get access to your information and accounts. plan for routine recovery , such as when you’re away from your computer, but need to gain access to your information and accounts. plan for extreme recovery , such as when you are disabled and unable to communicate, or when you pass away. continue reading stay secure → programming step 0: assume a malicious universe 2018 may 20 william doane leave a comment here’s a thought puzzle for you… given the following line of computer code, “what could go wrong?” that is, what kinds of issues could arise from submitting that code to your favorite programming language interpreter (you do have a favorite… right?) n + 4 continue reading step 0: assume a malicious universe → programming , r i’m ‘not in’ right now… 2018 april 29 william doane 3 comments checking whether an item is in a vector or not in a vector is a common task. the notation in r is a little inelegant when expressing the “not in” condition since the negation operator ( ! ) is separated from the comparison operator ( %in% ): 5 %in% c(1, 2, 3, 4, 5) # true !5 %in% c(1, 2, 3, 4, 5) # false r is a language where you can easily extend the set of built in operators: `%!in%` <- function(needle, haystack) { !(needle %in% haystack) } now, i can express my intentions reasonably clearly with my new, compact, infix operator %!in% : 5 %in% c(1, 2, 3, 4, 5) # true 5 %!in% c(1, 2, 3, 4, 5) # false moral: bend your tools to your will, not the other way ’round. tips & best practices thinking about data-driven visualizations 2018 february 24 william doane leave a comment when you’re creating a visualization based on data, it often seems as if the possibilities are endless. realistically, however, your best option is to think carefully about each of the variables with which you’re working—typically represented as the columns in a spreadsheet—and the limited number of aesthetic dimensions of your visualization—for each data point: the x position, the y position, possibly the z position, color, transparency, shape, and size. your goal is to map each aesthetic to one variable. if you’re using an aesthetic dimension in your graphic that isn’t tied to your variables, then why do you have that dimension? after all, it’s not communicating any information. leland wilkinson’s seminal book, a grammar of graphics . hadley wickham’s classic: a layered grammar of graphics. and a discussion that applies hadley’s ideas . programming , r defensively install packages in r 2018 february 19 william doane leave a comment often, your r code will rely on having one or more r packages available. a little defensive coding will save users of your code—including future-you—from having to figure out which packages you’re using and then having to manually install them. this lowers the extraneous cognitive load associated with running older or unfamiliar code. if (!"tidyverse" %in% installed.packages()) install.package("tidyverse", deps = true) or, if you prefer to always use blocks with if statements: if (!"tidyverse" %in% installed.packages()) { install.package("tidyverse", deps = true) } with a little persistence, you can extend this to dealing with multiple packages: pkgs <- c("tidyverse", "openxlsx") install.packages(pkgs[!pkgs %in% installed.packages()], deps = true) programming , r getting started with r 2018 february 19 william doane leave a comment download and install r . download and install rstudio . read r for data science . r provides the backend: the programming language specification and the interpreter. rstudio provides the frontend: the user interface that allows you to interact with r, visualize data, and manage the files associated with your analyses. r for data science introduces you to the tidyverse way of programming. there are basically methods of programming in r: “base r”, which has been around since the r language was first conceived (and before, since r is itself based on the s language ), and the tidyverse, a newer approach that focuses on leveraging a consistent structure to your data and developing a grammar for data ingest, data wrangling, data vi

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Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain Name: DRDOANE.COM
Registry Domain ID: 1582414217_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2019-01-20T14:20:05Z
Creation Date: 2010-01-19T19:35:10Z
Registry Expiry Date: 2020-01-19T19:35:10Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: 480-624-2505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: NS1.DREAMHOST.COM
Name Server: NS2.DREAMHOST.COM
Name Server: NS3.DREAMHOST.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2019-01-26T03:26:19Z <<<

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  REGISTRAR GoDaddy.com, LLC

SERVERS

  SERVER com.whois-servers.net

  ARGS domain =drdoane.com

  PORT 43

  TYPE domain

DOMAIN

  NAME drdoane.com

  CHANGED 2019-01-20

  CREATED 2010-01-19

STATUS
clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
clientRenewProhibited https://icann.org/epp#clientRenewProhibited
clientTransferProhibited https://icann.org/epp#clientTransferProhibited
clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited

NSERVER

  NS1.DREAMHOST.COM 64.90.62.230

  NS2.DREAMHOST.COM 208.97.182.10

  NS3.DREAMHOST.COM 66.33.205.230

  REGISTERED yes

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