#Hi R-users,
#Suppose that I have a data.frame like this:
y1 <- rnorm(10) + 6.8
y2 <- rnorm(10) + (1:10*1.7 + 1)
y3 <- rnorm(10) + (1:10*6.7 + 3.7)
y <- c(y1,y2,y3)
x <- rep(1:3,10)
f <- gl(2,15, labels=paste("lev", 1:2, sep=""))
g <- seq(as.Date("2000/1/1"), by="day", length=30)
DF <- data.frame(x=x,y=y, f=f, g=g)
DF$g[DF$x == 1] <- NA
DF$x[3:6] <- NA
DF$wdays <- weekdays(DF$g)
DF
#For EDA purposes, I would like to calculate frequences in each variable
g <- lapply(DF, function(x) as.data.frame(table(x)))
#After this, I would like to cbind these data.frames (in g) into a
single data.frame (which to export to MS Excel)
#do.call(cbind, g) does not seem to work because of the different
number of rows in each data.frame.
#The resulting data.frame shoul look like this (only two variables
printed here):
Rowid;x;Freq.x;y;Freq.y; # etc...
1;1;9;1.69151845313816;1;
2;2;9;5.03748767699799;1;
3;3;8;5.37387749444247;1;
4;Empty;Empty;6.83926626214299;1;
5;Empty;Empty;6.97484558968873;1;
6;Empty;Empty;7.11023821708323;1;
7;Empty;Empty;7.1348316549091;1;
8;Empty;Empty;7.16727166992407;1;
9;Empty;Empty;7.35983428577469;1;
10;Empty;Empty;7.7596470136235;1;
11;Empty;Empty;7.86369414967578;1;
12;Empty;Empty;7.97164674771006;1;
13;Empty;Empty;8.0787295301318;1;
14;Empty;Empty;8.14161030348166;1;
15;Empty;Empty;8.20134832959661;1;
16;Empty;Empty;10.1469115339016;1
17;Empty;Empty;12.7442067301746;1
18;Empty;Empty;14.0865167751202;1
19;Empty;Empty;15.8280312307450;1
20;Empty;Empty;16.0484499360756;1
21;Empty;Empty;17.0795222149999;1
22;Empty;Empty;18.1254057823357;1
23;Empty;Empty;22.7169729331525;1
24;Empty;Empty;30.7237748005358;1
25;Empty;Empty;37.2141271786934;1
26;Empty;Empty;44.4954633229803;1
27;Empty;Empty;50.2302409305761;1
28;Empty;Empty;57.8913405112114;1
29;Empty;Empty;64.849897477945;1
30;Empty;Empty;71.4205263353053;1
#Anyone have an idea how to do this?
#Thanks,
#Lauri
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