Publications by Kaiyan Wei
Document
Libraries / R Setup In this section, include the R set up for Python to run. library(reticulate) library(wordnet) library(qdap) ## Loading required package: qdapDictionaries ## Loading required package: qdapRegex ## Loading required package: qdapTools ## Loading required package: RColorBrewer ## Registered S3 methods overwritten by 'qdap': ## ...
1343 sym R (3960 sym/38 pcs)
ANLY 520 HW4
Libraries / R Setup In this section, include the libraries you need for the R questions. library(reticulate) library(rJava) library(tagger) ##r chunk #devtools::install_github("bradleyboehmke/harrypotter") library(harrypotter) ##pick one of the harrypotter books to analyze with your POS text ##https://github.com/bradleyboehmke/harrypotter chec...
1791 sym R (43268 sym/35 pcs) 2 img
Executive 1
NOTE: All instructions in capital letters indicate code that you should fill in with the appropriate information. Set up your python Install the reticulate package (do not include this code). Load the reticulate library. library(reticulate) The first you set this up, you need to configure where your Python is located. Run py_config() to find ...
2742 sym R (8345 sym/24 pcs)
DocumentTest 1 ANLY 5454
There are 10 questions and each question is worth 10 points each. When completed, knit the file to a .HTML and save the file as Test#1_LastName and submit the .HTML file to the Test #1 assignment link on Moodle. Due Date: Sunday December 20th, 2019 by 11:55p.m. EST. Run the code below and notice there is a data frame entitled SpaceShuttle. Using...
4682 sym R (2254 sym/27 pcs)
Executive 1
NOTE: All instructions in capital letters indicate code that you should fill in with the appropriate information. Set up your python Install the reticulate package (do not include this code). Load the reticulate library. library(reticulate) The first you set this up, you need to configure where your Python is located. Run py_config() to find ...
2742 sym R (8304 sym/24 pcs)
ANLY 545 workshop1
Workshop #1 is worth 100 points and each question is worth 6.5 points each. Submission Instructions: save the .HTML file as ‘Familiar_ Categorical_Data_Assignmentyourlastname.HTML’ and upload the HTML file to the assignment entitled ‘Getting Familiar with Categorical Data in R’ on Canvas on or before the due date. Good luck! #2.1 p.p. 60...
2433 sym R (11142 sym/55 pcs) 4 img
ANLY545 Workshop1
Workshop #1 is worth 100 points and each question is worth 6.5 points each. Submission Instructions: save the .HTML file as ‘Familiar_ Categorical_Data_Assignmentyourlastname.HTML’ and upload the HTML file to the assignment entitled ‘Getting Familiar with Categorical Data in R’ on Canvas on or before the due date. Good luck! #2.1 p.p. 60...
2433 sym R (11142 sym/55 pcs) 4 img