The raw data (.txt) file has 65926 elements, each containing a 142 character string.
Here's the dropbox link to the raw data file.
The task is to divide that 142 character string into 37 smaller strings (each substring being a separate character variable), each one beginning sequentially at following positions: 1,4,9,11,14,15,16,19,21,24,26,27,28,32,33,34,36,38,43,45,46,47,48,52,56,60,66,72,75,76,77,78,79,80,127,130,133
The final output must be a 65926 x 37 dataframe. Here's a snapshot of the output dataframe:
Here's the code I'm using:
x <- readLines("R71252L01.TXT")
a <- c(1,4,9,11,14,15,16,19,21,24,26,27,28,32,33,34,36,38,43,45,46,47,48,52,56,60,66,72,75,76,77,78,79,80,127,130,133)
z <- data.frame(matrix(nrow = length(x), ncol = length(a)), stringsAsFactors = FALSE)
for (i in 1:length(x) ) {
z[i,] <- (list(
(c(substr(x[i], 1, 3),substr(x[i], 4, 8),substr(x[i], 9, 10),
substr(x[i], 11, 13),substr(x[i], 14, 14),substr(x[i], 15, 15),
substr(x[i], 16, 18),substr(x[i], 19, 20),substr(x[i], 21, 23),
substr(x[i], 24, 25),substr(x[i], 26, 26),substr(x[i], 27, 27),
substr(x[i], 28, 31),substr(x[i], 32, 32),substr(x[i], 33, 33),
substr(x[i], 34, 35),substr(x[i], 36, 37),substr(x[i], 38, 42),
substr(x[i], 43, 44),substr(x[i], 45, 45),substr(x[i], 46, 46),
substr(x[i], 47, 47),substr(x[i], 48, 51),substr(x[i], 52, 55),
substr(x[i], 56, 56),substr(x[i], 60, 65),substr(x[i], 66, 71),
substr(x[i], 72, 74),substr(x[i], 75, 75),substr(x[i], 76, 76),
substr(x[i], 77, 77),substr(x[i], 78, 78),substr(x[i], 79, 79),
substr(x[i], 80, 126),substr(x[i], 127, 129),substr(x[i], 130, 132),
substr(x[i], 133, 142)
) )
) )
i <- i+1
}
The code works but there are two issues:
substr()
have to be manually typed out. Any way to utilize the vector a
instead of all that manual labour?The code takes over 30 minutes to execute. Checking time:
> system.time(source('Hitesh_Script.R'))
user system elapsed
4452.464 9.440 4476.018
Can this be done faster?
I have to perform this task for several raw data files, each with a different vector a
. Hence any other suggestions for efficiency will also be appreciated. Thanks a ton!
I just simulated a scratch data and shared a simple code
a <- c(1,4,9,11,14,15,16,19,21,24,26,27,28,32,33,34,36,38,43,45,46,47,48,52,
56,60,66,72,75,76,77,78,79,80,127,130,133)
df = data.frame(
x = c("uiagdsjgcjkh bijacydgasxdhsfkajdh,cnfwkeyrg,urnyhvguirwljbhgkjgjgdkgkdgkgdkgdkgdkgdkgdkgdkgdkdgkdgkdgkdgkjdgkdwjbiuayeiuy ke,ynh lgdiyl",
"kjhfkjsdlfkojjhgckjasnhjhckjsybsanhdsabtgchbtsjahasijhcndkuysefiuwyhsnidxjnkausetfba jwf,mycaiusftbbawubbctejdgkjdghjgdduiacwyftacbm"))
# > df
# x
# 1 uiagdsjgcjkh bijacydgasxdhsfkajdh,cnfwkeyrg,urnyhvguirwljbhgkjgjgdkgkdgkgdkgdkgdkgdkgdkgdkgdkdgkdgkdgkdgkjdgkdwjbiuayeiuy ke,ynh lgdiyl
# 2 kjhfkjsdlfkojjhgckjasnhjhckjsybsanhdsabtgchbtsjahasijhcndkuysefiuwyhsnidxjnkausetfba jwf,mycaiusftbbawubbctejdgkjdghjgdduiacwyftacbm
df1 <- data.frame(lapply(df, function(x) lapply(seq_along(a), function(i){
if (i==length(a))
substr(x,a[i],nchar(as.character(x)))
else
substr(x,a[i],a[i+1]-1)}
)))
colnames(df1)=paste0("x",1:dim(df1)[2])
df1
# x1 x2 x3 x4 x5 x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21
# 1 uia gdsjg cj kh b i jac yd gas xd h s fkaj d h ,c nf wkeyr g, u r
# 2 kjh fkjsd lf koj j h gck ja snh jh c k jsyb s a nh ds abtgc hb t s
# x22 x23 x24 x25 x26 x27 x28 x29 x30 x31 x32 x33
# 1 n yhvg uirw ljbh gkjgjg dkgkdg kgd k g d k g
# 2 j ahas ijhc ndku ysefiu wyhsni dxj n k a u s
# x34 x35 x36 x37
# 1 dkgdkgdkgdkgdkdgkdgkdgkdgkjdgkdwjbiuayeiuy ke,y nh lgd iyl
# 2 etfba jwf,mycaiusftbbawubbctejdgkjdghjgdduiacwy fta cbm