mirror of
https://github.com/adambard/learnxinyminutes-docs.git
synced 2024-11-22 12:32:09 +03:00
A few fixes
This commit is contained in:
parent
c3083760f6
commit
6e3e273451
@ -1,5 +1,5 @@
|
||||
---
|
||||
language: Dart
|
||||
language: dart
|
||||
author: Joao Pedrosa
|
||||
author_url: https://github.com/jpedrosa/
|
||||
---
|
||||
|
@ -7,7 +7,7 @@ author_url: http://github.com/e99n09
|
||||
|
||||
R is a statistical computing language.
|
||||
|
||||
```r
|
||||
```python
|
||||
|
||||
# Comments start with hashtags.
|
||||
|
||||
@ -16,9 +16,9 @@ R is a statistical computing language.
|
||||
|
||||
# Protip: hit COMMAND-ENTER to execute a line
|
||||
|
||||
###################################################################################
|
||||
#########################
|
||||
# The absolute basics
|
||||
###################################################################################
|
||||
#########################
|
||||
|
||||
# NUMERICS
|
||||
|
||||
@ -119,9 +119,9 @@ myFunc <- function(x) {
|
||||
# Called like any other R function:
|
||||
myFunc(5) # => [1] 19
|
||||
|
||||
###################################################################################
|
||||
#########################
|
||||
# Fun with data: vectors, matrices, data frames, and arrays
|
||||
###################################################################################
|
||||
#########################
|
||||
|
||||
# ONE-DIMENSIONAL
|
||||
|
||||
@ -243,7 +243,7 @@ array(c(c(c(2,300,4),c(8,9,0)),c(c(5,60,0),c(66,7,847))), dim=c(3,2,2))
|
||||
# LISTS (MULTI-DIMENSIONAL, POSSIBLY RAGGED, OF DIFFERENT TYPES)
|
||||
|
||||
# Finally, R has lists (of vectors)
|
||||
list1 <- list(time = 1:40, price = c(rnorm(40,.5*list1$time,4))) # generate random
|
||||
list1 <- list(time = 1:40, price = c(rnorm(40,.5*list1$time,4))) # random
|
||||
list1
|
||||
|
||||
# You can get items in the list like so
|
||||
@ -251,9 +251,9 @@ list1$time
|
||||
# You can subset list items like vectors
|
||||
list1$price[4]
|
||||
|
||||
###################################################################################
|
||||
#########################
|
||||
# The apply() family of functions
|
||||
###################################################################################
|
||||
#########################
|
||||
|
||||
# Remember mat?
|
||||
mat
|
||||
@ -281,9 +281,9 @@ install.packages("plyr")
|
||||
require(plyr)
|
||||
?plyr
|
||||
|
||||
###################################################################################
|
||||
#########################
|
||||
# Loading data
|
||||
###################################################################################
|
||||
#########################
|
||||
|
||||
# "pets.csv" is a file on the internet
|
||||
pets <- read.csv("http://learnxinyminutes.com/docs/pets.csv")
|
||||
@ -292,14 +292,14 @@ head(pets, 2) # first two rows
|
||||
tail(pets, 1) # last row
|
||||
|
||||
# To save a data frame or matrix as a .csv file
|
||||
write.csv(pets, "pets2.csv") # to make a new .csv file in the working directory
|
||||
write.csv(pets, "pets2.csv") # to make a new .csv file
|
||||
# set working directory with setwd(), look it up with getwd()
|
||||
|
||||
# Try ?read.csv and ?write.csv for more information
|
||||
|
||||
###################################################################################
|
||||
#########################
|
||||
# Plots
|
||||
###################################################################################
|
||||
#########################
|
||||
|
||||
# Scatterplots!
|
||||
plot(list1$time, list1$price, main = "fake data")
|
||||
|
Loading…
Reference in New Issue
Block a user