This should do it for you by padding out the rows so they are the same length:
# use your 'g' and pad out the rows so they are the same length
str(g)
List of 5
$ x :'data.frame': 3 obs. of 2 variables:
..$ x : Factor w/ 3 levels "1","2","3": 1 2 3
..$ Freq: int [1:3] 9 9 8
$ y :'data.frame': 30 obs. of 2 variables:
..$ x : Factor w/ 30 levels "4.21178116845085",..: 1 2 3 4 5 6 7 8 9 10 ...
..$ Freq: int [1:30] 1 1 1 1 1 1 1 1 1 1 ...
$ f :'data.frame': 2 obs. of 2 variables:
..$ x : Factor w/ 2 levels "lev1","lev2": 1 2
..$ Freq: int [1:2] 15 15
$ g :'data.frame': 20 obs. of 2 variables:
..$ x : Factor w/ 20 levels "2000-01-02","2000-01-03",..: 1 2 3 4
5 6 7 8 9 10 ...
..$ Freq: int [1:20] 1 1 1 1 1 1 1 1 1 1 ...
$ wdays:'data.frame': 7 obs. of 2 variables:
..$ x : Factor w/ 7 levels "Friday","Monday",..: 1 2 3 4 5 6 7
..$ Freq: int [1:7] 2 3 3 4 3 2 3
# determine max nrows
max.rows <- max(sapply(g, nrow))
g.new <- lapply(g, function(.x){
+ if (nrow(.x) < max.rows) .x <- rbind(.x, matrix(NA, ncol=2,
nrow=max.rows - nrow(.x),
+ dimnames=list(NULL, c('x', 'Freq'))))
+ .x
+ })
x.x x.Freq y.x y.Freq f.x f.Freq g.x g.Freq
wdays.x wdays.Freq
1 1 9 4.21178116845085 1 lev1 15 2000-01-02 1
Friday 2
2 2 9 4.78984323641143 1 lev2 15 2000-01-03 1
Monday 3
3 3 8 5.4787594194582 1 <NA> NA 2000-01-05 1
Saturday 3
4 <NA> NA 5.5853001128225 1 <NA> NA 2000-01-06 1
Sunday 4
5 <NA> NA 5.96437138758995 1 <NA> NA 2000-01-08 1
Thursday 3
6 <NA> NA 5.97953161588198 1 <NA> NA 2000-01-09 1
Tuesday 2
7 <NA> NA 6.17354618925767 1 <NA> NA 2000-01-11 1
Wednesday 3
8 <NA> NA 6.49461161284364 1 <NA> NA 2000-01-12 1
<NA> NA
9 <NA> NA 6.98364332422208 1 <NA> NA 2000-01-14 1
<NA> NA
10 <NA> NA 7.12950777181536 1 <NA> NA 2000-01-15 1
<NA> NA
11 <NA> NA 7.28742905242849 1 <NA> NA 2000-01-17 1
<NA> NA
12 <NA> NA 7.3757813516535 1 <NA> NA 2000-01-18 1
<NA> NA
13 <NA> NA 7.53832470512922 1 <NA> NA 2000-01-20 1
<NA> NA
14 <NA> NA 8.39528080213779 1 <NA> NA 2000-01-21 1
<NA> NA
15 <NA> NA 10.6249309181431 1 <NA> NA 2000-01-23 1
<NA> NA
16 <NA> NA 11.1550663909848 1 <NA> NA 2000-01-24 1
<NA> NA
17 <NA> NA 11.3189773716082 1 <NA> NA 2000-01-26 1
<NA> NA
18 <NA> NA 12.8838097369011 1 <NA> NA 2000-01-27 1
<NA> NA
19 <NA> NA 15.5438362106853 1 <NA> NA 2000-01-29 1
<NA> NA
20 <NA> NA 17.1212211950981 1 <NA> NA 2000-01-30 1
<NA> NA
21 <NA> NA 17.8821363007311 1 <NA> NA <NA> NA
<NA> NA
22 <NA> NA 18.5939013212175 1 <NA> NA <NA> NA
<NA> NA
On Dec 1, 2007 8:05 AM, Lauri Nikkinen <lauri.nikkinen at iki.fi> wrote:
#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