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Update programming1.R #1

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36 changes: 36 additions & 0 deletions week2/programming1.R
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Original file line number Diff line number Diff line change
@@ -1,3 +1,39 @@
source("http://d396qusza40orc.cloudfront.net/rprog%2Fscripts%2Fsubmitscript1.R")
submit()

> setwd("C:/Users/Dad/Documents/R/JHop")
> ## develope file reading
> file <- read.csv("./specdata/023.csv")
> ## create data frame
> df <- data.frame(Date=as.Date(character()),
+ sulfate=numeric(),
+ nitrate=numeric(),
+ ID=integer())
> ## variable name for directory - combine three dirrerent
> directory <- "specdata"
> id <- 23
> file <- read.csv(paste("./", directory, "/", sprintf("%03d", id), ".csv", sep=""))
> df<-rbind(df, file)
> id<-1
> file1<- read.csv(paste("./", directory, "/", sprintf("%03d", id), ".csv", sep=""))
> df<-rbind(df, file1)
> id<-2
> file2<- read.csv(paste("./", directory, "/", sprintf("%03d", id), ".csv", sep=""))
> df<-rbind(df, file2)
> ## - mean
>
> mean(file$nitrate, na.rm=TRUE) #calculate mean
[1] 1.280833
>
> #develop column name variable to calculate mean
> pollutant <- "nitrate"
> avector <- as.vector(file[pollutant]) #extract column to vector
> avector2 <-avector[!is.na(avector)] #remove and N/A from vector
> mean(avector2)
[1] 1.280833
>
> #combining statemente to reduce coding
> pollutant <- "nitrate"
> avector <- as.vector(file[pollutant]) #extract column to vector
> mean(avector[!is.na(avector)]) #remove any N/A and calculate mean
[1] 1.280833