Publications by Your name here
Analysis on ‘Mark Twain’ and ’ F. Scott Fitzgerald’
library(tidytext) library(textdata) library(dplyr) ## ## 다음의 패키지를 부착합니다: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(stringr) library(tidyr) library(ggplot2) ...
8609 sym R (26562 sym/86 pcs) 10 img
학력이 성공에 미치는 영향
연구 목적 및 배경 설명 대한민국의 많은 부모들이 자식을 좋은 대학에 보내기 위해 고군분투한다. 한국에서 좋은 대학이란 대게 서울에 있거나, 의대 또는 로스쿨을 의미한다. 이런 대학에 입학하려는 입시 경쟁은 날이 갈수록 치열해지고 있다. 이와 같은 경쟁�...
2978 sym Python (5535 sym/19 pcs) 6 img
Publish Document
Write text and code here. imdb_dataset <- read_csv("IMDB Dataset.csv") ## Rows: 50000 Columns: 2 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2): review, sentiment ## #...
104 sym Python (15579 sym/29 pcs) 5 img
Document
Write text and code here. Executive summary What is (are) your main question(s)? What is your story? What does the final graphic show? Data background Explain where the data came from, what agency or company made it, how it is structured, what it shows, etc. Data loading, cleaning and preprocessing Describe and show how you cleaned and reshape...
801 sym 1 img
Document
Write text and code here. Executive summary What is (are) your main question(s)? What is your story? What does the final graphic show? Data background Explain where the data came from, what agency or company made it, how it is structured, what it shows, etc. Data loading, cleaning and preprocessing Describe and show how you cleaned and reshape...
801 sym 1 img
Document
Write text and code here. Executive summary What is (are) your main question(s)? What is your story? What does the final graphic show? Data background Explain where the data came from, what agency or company made it, how it is structured, what it shows, etc. Data loading, cleaning and preprocessing Describe and show how you cleaned and reshaped ...
796 sym 1 img
시범
Write text and code here. 연구 목적 및 배경 설명 완성된 문장으로 제출하기!(설명형식) What is (are) your main question(s)? What is your story? What does the final graphic show? 데이터에 대한 개괄적인 설명 Explain where the data came from, what agency or company made it, how it is structured, what it shows, etc...
700 sym
Recovering Marginal Effects and Standard Errors from Interaction Terms in R
When I fit models with interactions, I often want to recover not only the interaction effect but also the marginal effect (the main effect + the interaction) and of course the standard errors. There are a couple of ways to do this in R but I ended writing my own function (essentially a wrapper around the deltaMethod() function) to fit my needs. ...
2153 sym R (1237 sym/1 pcs)
Recovering Marginal Effects and Standard Errors of Interactions Terms Pt. II: Implement and Visualize
In the last post I presented a function for recovering marginal effects of interaction terms. Here we implement the function with simulated data and plot the results using ggplot2. #---Simulate Data and Fit a linear model with an interaction term y<-rnorm(100,5,1) x<-rnorm(100,5,1) d<-data.frame(y=y,x=x,fac=sample(letters[1:3],100,replace=T))...
589 sym R (1245 sym/1 pcs) 2 img