[R] HOW TO CREATE A SUBSET FROM A LARGE DATASET based on some conditions

[arun]

Hi,
Try:
dat1 <- read.table(text="2008 India ..  ..   .. .. ..
2009 India -   -   -   -   -  
2010 India 5 1 6 0 -  
2011 India 20 2 21 2 2
2012 India 35 4 42 3 5
2013 India 88 10 74 6  ..  
2008 Brazil 3 2 .. .. 2
2009 Brazil 6 4 -   -   4",sep="",header=FALSE,stringsAsFactors=FALSE)
dat2 <- dat1[dat1[,2]=="India",]
A.K.


HI all 

i would like to create a small dataset from the huge dataset 
based on certain conditions. A sample of the dataset is as shown below: 

Time	 Country 	 3G Phone subscriber (Million) 	 3G Phone 
subscriber per 100 Mobile subscription 	 Smartphone subscriber 
(Millions) 	 Smartphone subscriber per 100 inhabitant 	 Active 
mobile-broadband subscriptions per 100 inhabitants   
2008	 India 	 .. 	  ..  	 .. 	 .. 	 .. 
2009	 India 	 -   	 -   	 -   	 -   	 -   
2010	 India 	5	1	6	0	 -   
2011	 India 	20	2	21	2	2 
2012	 India 	35	4	42	3	5 
2013	 India 	88	10	74	6	  ..   
2008	 Brazil 	3	2	 .. 	 .. 	2 
2009	 Brazil 	6	4	 -   	 -   	4 


I would like to separate rows from the dataset only for country = India 

This data is in a csv format in a file a.csv 
The code i wrote it is: 
tempFile<-read.csv("a.csv", header = TRUE) 
df<-data.frame(tempFile) 
if(df$Country == "India") { India<-df } 


This shows an error. pls help, where am i doing a mistake