https://www.w3resource.com/r-programming-exercises/ R programming Exercises, Practice, Solution - w3resourceR programming Exercises, Practice, Solution: The best way we learn anything is by practice and exercise questions. Here you have the opportunity to practice the R programming language concepts by solving the exercises starting from basic to more complex exwww.w3resource.com https://www.w3s..
평균: mean표준편차:sd분산:var공분산:cov상관계수:corr선형회귀:lm 이항분포는 시행결과가 오직 2개인 베르누이 시행을 여러번 반복하였을 때 나타나는 확률분포dbinom(x, size, prob, log = FALSE)pbinom(q, size, prob, lower.tail = TRUE, log.p = FALSE)qbinom(p, size, prob, lower.tail = TRUE, log.p = FALSE)rbinom(n, size, prob) dnorm(x, mean = 0, sd = 1, log = FALSE)pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)qnorm(p, mean = 0, sd = 1, lower.tail..
https://www.spsanderson.com/steveondata/posts/2025-03-24/ How to Use the foreach() Function in R: A Comprehensive Guide – Steve’s Data Tips and TricksUnlock the power of parallel processing with the foreach() function in R! This comprehensive guide explores how to efficiently handle data analysis using foreach() with practical examples, best practices, and comparisons to traditional loops. Perfe..
BlackScholes
install.packages("ggplot2")library(ggplot2)str(airquality)#--산점도ggplot(airquality, aes(x=Day, y=Temp)) + geom_point(size=3, color="red")#--라인ggplot(airquality, aes(x=Day, y=Temp)) + geom_line()#--산점도+라인ggplot(airquality, aes(x=Day, y=Temp)) + geom_point(size=3 ) + geom_line(color="red")#--막대ggplot(mtcars, aes(x=factor(cyl))) + geom_bar(width=0.5) + labs(x="cyl수", y="자동차수", title="cyl별 자동차수..
잊어버리네. Ctrl + Shift + M : %>%Alt + - :
shiny web 2
library(shiny)# Define Server Function server output$selected_value output$selected_option output$selected_date output$txtout paste(input$txt1, input$txt2, input$txt3, input$txt4, input$txt5, input$txt6, input$txt7, input$txt8, sep = " " ) }) output$plot ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() })} # Loading the librarieslibrary(shiny)libr..
ex_data View(ex_data)ex_data View(ex_data)ex_data View(ex_data)install.packages("readxl")library(readxl)excel_data View(excel_data)excel_data2 install.packages("XML")library(XML)xml_data View(xml_data)install.packages("jsonlite")library(jsonlite)json_data View(json_data)
This will make your R experience on Fedora much easierUnfortunately, CRAN does not provide binaries for Linux. That is why, by default install.packages() will compile any package you install from source. Many packages require developer libraries to be installed on the system for compilation. The lack of these packages is why you got the error.Overall, compiling packages yourself is far from idea..