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name = readline(prompt="Your name: ") ## Your name: age = readline(prompt="Your age: ") ## Your age: print(name) ## [1] "" print(age) ## [1] "" print(R.version.string) ## [1] "R version 4.4.1 (2024-06-14 ucrt)"...
13 sym
Ørskov & McDonald model to the hypothetical data
################################################################################ # # # Written by: Julius Mugambe # Written on: June 2024 # Institution: CAU # Purpose: Stat # # ################################################################################ ############################################################################...
33 sym 5 img
Spatial Analysis 1
Spatial Analysis ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ✔ dplyr 1.1.3 ✔ readr 2.1.4 ✔ forcats 1.0.0 ✔ stringr 1.5.0 ✔ ggplot2 3.4.3 ✔ tibble 3.2.1 ✔ lubridate 1.9.2 ✔ tidyr 1.3.0 ✔ purrr ...
1187 sym Python (68108 sym/38 pcs) 8 img
LGBTQ Network_240419
getwd() ## [1] "C:/Users/User/OneDrive/Research/NETWORK lgbtq organization in SK/Graph with r_220630" setwd("C:/Users/User/OneDrive/Research/NETWORK lgbtq organization in SK/Data_220615") rm(list=ls()) library(tidygraph) library(ggraph) library(igraph) library(tidyverse) \(~\) 1990년대 linkdata_1990 <- read.csv("C:/Users/User/OneDrive/Rese...
173 sym R (17237 sym/27 pcs) 6 img
Document
setwd(“C:/Users/USER/OneDrive/Desktop/Data Science Resources/R studio/Ongoing projects/West Pokot”) getwd() #A. DESCRIPTION AND SUMMARY OF WET SEASON DATA # Import the wet season quadrat data set library(readxl) Quadrat_Wet <- read_excel(“WP_Vegetation.xlsx”, sheet = 3) View (Quadrat_Wet) colnames(Quadrat_Wet) Subsetting the grasses da...
58034 sym
Document
setwd("C:/Users/USER/OneDrive/Desktop/Data Science Resources/R studio/Ongoing projects/West Pokot") getwd() ## [1] "C:/Users/USER/OneDrive/Desktop/Data Science Resources/R studio/Ongoing projects/West Pokot" #A. DESCRIPTION AND SUMMARY OF WET SEASON DATA # Import the wet season quadrat data set library(readxl) Quadrat_Wet <- read_excel("WP_Vege...
664 sym R (236495 sym/659 pcs) 2 img
Tema Seminar 6
date_txt <- read.table(file = "TemaSeminarVol.txt", header = T , sep = "\t") View(date_txt) date_actiuni <- read.csv(file = "TemaVolume.csv", header = T, sep = ",") View(date_actiuni) fix(date_actiuni) date_actiuni_comune<-data.frame(date_actiuni) View(date_actiuni_comune) #statistici descriptive summary(date_actiuni_comune) ## Dat...
57 sym R (9341 sym/49 pcs) 5 img
r basic
#loading data sets mtcars #######QUESTION 1 library(tidyverse) ## Warning: package 'tidyverse' was built under R version 4.3.2 ## Warning: package 'ggplot2' was built under R version 4.3.2 ## Warning: package 'tibble' was built under R version 4.3.2 ## Warning: package 'tidyr' was built under R version 4.3.2 ## Warning: package 'readr' was built...
49 sym R (10559 sym/43 pcs) 3 img
Assignment1
#1. Do the following calculations in R a<-(5*4)^(4*5)-56 a ## [1] 1.048576e+26 b<-23-1*(8-12) b ## [1] 27 c<-56/8*(3+4) c ## [1] 49 d<-45-5*8+(8+9) d ## [1] 22 #2. Create the following vectors a, b, and c a<-c(2,5,6,7) a ## [1] 2 5 6 7 b<-c(1,0,9,8) b ## [1] 1 0 9 8 c<-c(6,5,8,3) c ## [1] 6 5 8 3 #3. Matrix mat<-matrix(c(a,b,c), ...
27 sym