R Cls 1

Ctrl + Alt + i

Create Table

marks <- c(6,7,9,6,7)
sex <- c("M","M","F","M","M")

df <- data.frame(marks,sex)

df

FullScreen : Ctrl + Shift + 1

Data view

library(readr)
data <- read_csv("C:/R Analysis/Sara_Data Analysis/sara_apa/Participant Report/Working file/Data/AirVisual_Indoor_EMB020_AVG_5min.csv")

## Rows: 2269 Columns: 14
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (5): ID, Machine, Position, Burn.Site, timepoint
## dbl  (8): mean_PM1.ug.m3., mean_PM2_5.ug.m3., mean_PM10.ug.m3., mean_Tempera...
## dttm (1): DateTime
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

View(data)

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

names(iris)

## [1] "Sepal.Length" "Sepal.Width"  "Petal.Length" "Petal.Width"  "Species"

ctrl + shift +m

iris %>% 
  select(
    "Species" ,
    "Sepal.Length",
    "Petal.Width"
  ) %>% 
  filter(
    Species == "versicolor"
  )