From those messages, it looks like the install didn't work properly.
This can happen on Windows if another process is still using the older .dll.
On every release we usually do get reports like this.
Since it is Windows, let's try overkill first :
1. Close all R sessions
2. To be sure, reboot. This ensures all locks on open .dlls are fully
cleared.
3. Start R
4. remove.package("data.table")
5. install.packages("data.table")
6. require(data.table)
7. test.data.table() -- does it work?
8. Rerun test
The Windows .zip for 1.9.2 is now on the homepage, so it's best to use
that one please.
Matt
On 27/02/14 15:05, carrieromichele wrote:
I just installed the new data.table versions. I tried both
1.9.0, available (binary) at
http://datatable.r-forge.r-project.org/data.table_1.9.0.zip, and 1.9.2
(CRAN) building from source (using Rtools)
After installing I run my BAU scripts and found out that I had
different results... this is what I could made reproducible
1.8.10
> library(data.table)
data.table 1.8.10 For help type: help("data.table")
> set.seed(1)
> dt <- data.table(id=rep(1:4, each=3),
+ var1 = rep(letters[1:3], 4),
+ var2 = rnorm(12),
+ key="id,var1")
> dt
id var1 var2
1: 1 a -0.6264538
2: 1 b 0.1836433
3: 1 c -0.8356286
4: 2 a 1.5952808
5: 2 b 0.3295078
6: 2 c -0.8204684
7: 3 a 0.4874291
8: 3 b 0.7383247
9: 3 c 0.5757814
10: 4 a -0.3053884
11: 4 b 1.5117812
12: 4 c 0.3898432
>
> key(dt)
[1] "id" "var1"
> dt[.(unique(id)), list(var1, var2)]
id var1 var2
1: 1 a -0.6264538
2: 1 b 0.1836433
3: 1 c -0.8356286
4: 2 a 1.5952808
5: 2 b 0.3295078
6: 2 c -0.8204684
7: 3 a 0.4874291
8: 3 b 0.7383247
9: 3 c 0.5757814
10: 4 a -0.3053884
11: 4 b 1.5117812
12: 4 c 0.3898432
1.9.0
> library(data.table)
data.table 1.9.0 For help type: help("data.table")
Warning message:
package 'data.table' was built under R version 3.1.0
> set.seed(1)
> dt <- data.table(id=rep(1:4, each=3),
+ var1 = rep(letters[1:3], 4),
+ var2 = rnorm(12),
+ key="id,var1")
> dt
id var1 var2
1: 1 a -0.6264538
2: 1 b 0.1836433
3: 1 c -0.8356286
4: 2 a 1.5952808
5: 2 b 0.3295078
6: 2 c -0.8204684
7: 3 a 0.4874291
8: 3 b 0.7383247
9: 3 c 0.5757814
10: 4 a -0.3053884
11: 4 b 1.5117812
12: 4 c 0.3898432
>
> key(dt)
[1] "id" "var1"
> dt[.(unique(id)), list(var1, var2)]
id var1 var2
1: 1 a -0.6264538
2: 1 a 0.1836433
3: 1 a -0.8356286
4: 2 a 1.5952808
5: 2 a 0.3295078
6: 2 a -0.8204684
7: 3 a 0.4874291
8: 3 a 0.7383247
9: 3 a 0.5757814
10: 4 a -0.3053884
11: 4 a 1.5117812
12: 4 a 0.3898432
1.9.2
> library("data.table", lib.loc="C:/Program Files/R/R-3.0.2/library")
data.table 1.9.2 For help type: help("data.table")
> set.seed(1)
> dt <- data.table(id=rep(1:4, each=3),
+ var1 = rep(letters[1:3], 4),
+ var2 = rnorm(12),
+ key="id,var1")
Error in forder(x, cols, sort = TRUE, retGrp = FALSE) :
object 'Cforder' not found
> dt
id var1 var2
1: 1 a -0.6264538
2: 1 b 0.1836433
3: 1 c -0.8356286
4: 2 a 1.5952808
5: 2 b 0.3295078
6: 2 c -0.8204684
7: 3 a 0.4874291
8: 3 b 0.7383247
9: 3 c 0.5757814
10: 4 a -0.3053884
11: 4 b 1.5117812
12: 4 c 0.3898432
>
> key(dt)
[1] "id" "var1"
> dt[.(unique(id)), list(var1, var2)]
Error in `[.data.table`(dt, .(unique(id)), list(var1, var2)) :
object 'Cbmerge' not found
It seems that in the 1.9.0 version when you join using fewer keys than
the whole set of keys, the first values of the remaining keys are
"carried forward". Other column looks fine.
In the 1.9.2 instead some dependencies seem missing.
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