Last updated on 2024-06-13 12:49:44 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.73 | 5.86 | 77.75 | 83.61 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.73 | 5.82 | 54.15 | 59.97 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.73 | 105.72 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 1.73 | 115.77 | NOTE | |||
| r-devel-windows-x86_64 | 1.73 | 7.00 | 109.00 | 116.00 | OK | |
| r-patched-linux-x86_64 | 1.73 | 9.53 | 74.34 | 83.87 | OK | |
| r-release-linux-x86_64 | 1.73 | 7.52 | 72.30 | 79.82 | OK | |
| r-release-macos-arm64 | 1.73 | 39.00 | OK | |||
| r-release-macos-x86_64 | 1.73 | 55.00 | OK | |||
| r-release-windows-x86_64 | 1.73 | 8.00 | 108.00 | 116.00 | OK | |
| r-oldrel-macos-arm64 | 1.73 | 55.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.73 | 130.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.73 | 8.00 | 114.00 | 122.00 | OK |
Version: 1.73
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘rockchalk’
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.73
Check: examples
Result: ERROR
Running examples in ‘kutils-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: keyUpdate
> ### Title: Update a key in light of a new data frame (add variables and
> ### values)
> ### Aliases: keyUpdate
>
> ### ** Examples
>
> ## Original data frame has 2 variables
> dat1 <- data.frame("Score" = c(1, 2, 3, 42, 4, 2),
+ "Gender" = c("M", "M", "M", "F", "F", "F"))
> ## New data has all of original dat1, plus a new variable "Weight"
> #and has new values for "Gender" and "Score"
> dat2 <- plyr::rbind.fill(dat1, data.frame("Score" = 7,
+ "Gender" = "other", "Weight" = rnorm(3)))
> ## Create a long key for the original data, specify some
> ## recodes for Score and Gender in value_new
> key1.long <- keyTemplate(dat1, long = TRUE, varlab = TRUE)
>
> key1.long$value_new <- gsub("42", "10", key1.long$value_new)
> key1.long$value_new[key1.long$name_new == "Gender"] <-
+ mgsub(c("F", "M"), c("female", "male"),
+ key1.long$value_new[key1.long$name_new == "Gender"])
> key1.long[key1.long$name_old == "Score", "name_new"] <- "NewScore"
> keyUpdate(key1.long, dat2, append = TRUE)
name_old name_new class_old class_new value_old value_new missings recodes
1 Gender Gender character character F female
2 Gender Gender character character M male
3 Gender Gender character character . .
4 Gender Gender character character other other
5 Score NewScore integer integer 1 1
6 Score NewScore integer integer 2 2
7 Score NewScore integer integer 3 3
8 Score NewScore integer integer 4 4
9 Score NewScore integer integer 42 10
10 Score NewScore integer integer . .
11 Score NewScore integer integer 7 7
12 Weight Weight numeric numeric . .
> ## Throw away one row, make sure key still has Score values
> dat2 <- dat2[-1,]
> (key1.long.u <- keyUpdate(key1.long, dat2, append = FALSE))
name_old name_new class_old class_new value_old value_new missings recodes
1 Gender Gender character character F female
2 Gender Gender character character M male
3 Gender Gender character character other other
4 Gender Gender character character . .
5 Score NewScore integer integer 1 1
6 Score NewScore integer integer 2 2
7 Score NewScore integer integer 3 3
8 Score NewScore integer integer 4 4
9 Score NewScore integer integer 42 10
10 Score NewScore integer integer 7 7
11 Score NewScore integer integer . .
12 Weight Weight numeric numeric . .
> ## Key change Score to character variable
> key1.longc <- key1.long
> key1.longc[key1.longc$name_old == "Score", "class_new"] <- "character"
> keyUpdate(key1.longc, dat2, append = TRUE)
name_old name_new class_old class_new value_old value_new missings recodes
1 Gender Gender character character F female
2 Gender Gender character character M male
3 Gender Gender character character . .
4 Gender Gender character character other other
5 Score NewScore integer character 1 1
6 Score NewScore integer character 2 2
7 Score NewScore integer character 3 3
8 Score NewScore integer character 4 4
9 Score NewScore integer character 42 10
10 Score NewScore integer character . .
11 Score NewScore integer character 7 7
12 Weight Weight numeric numeric . .
> str(dat3 <- keyApply(dat2, key1.longc))
Score (old var)
NewScore 2 3 4 7 42
10 0 0 0 0 1
2 2 0 0 0 0
3 0 1 0 0 0
4 0 0 1 0 0
<NA> 0 0 0 3 0
Gender (old var)
Gender F M other
female 3 0 0
male 0 2 0
<NA> 0 0 3
'data.frame': 8 obs. of 2 variables:
$ NewScore: chr "2" "3" "10" "4" ...
$ Gender : chr "male" "male" "female" "female" ...
> ## Now try a wide key
> key1.wide <- keyTemplate(dat1)
> ## Put in new values, same as in key1.long
> key1.wide[key1.wide$name_old == "Score", c("name_new", "value_new")] <-
+ c("NewScore", "1|2|3|4|10|.")
> key1.wide[key1.wide$name_old == "Gender", "value_new"] <- "female|male|."
> ## Make sure key1.wide equivalent to key1.long:
> ## If this is not true, it is a fail
> all.equal(long2wide(key1.long), key1.wide, check.attributes = FALSE)
[1] TRUE
> (key1.wide.u <- keyUpdate(key1.wide, dat2))
name_old name_new class_old class_new value_old value_new
Gender Gender Gender character character F|M|other|. female|male|other|.
Score Score NewScore integer integer 1|2|3|4|42|7|. 1|2|3|4|10|7|.
Weight Weight Weight numeric numeric . .
missings recodes
Gender
Score
Weight
> key1.long.to.wide <- long2wide(key1.long.u)
> all.equal(key1.long.to.wide, key1.wide.u, check.attributes = FALSE)
[1] TRUE
> str(keyApply(dat2, key1.wide.u))
Gender (old var)
Gender F M other
female 3 0 0
male 0 2 0
other 0 0 3
Score (old var)
NewScore 2 3 4 7 42
2 2 0 0 0 0
3 0 1 0 0 0
4 0 0 1 0 0
7 0 0 0 3 0
10 0 0 0 0 1
Weight (old var)
Weight -0.835628612410047 -0.626453810742332 0.183643324222082 <NA>
-0.835628612410047 1 0 0 0
-0.626453810742332 0 1 0 0
0.183643324222082 0 0 1 0
<NA> 0 0 0 5
'data.frame': 8 obs. of 3 variables:
$ Gender : chr "male" "male" "female" "female" ...
$ NewScore: int 2 3 10 4 2 7 7 7
$ Weight : num NA NA NA NA NA ...
>
> mydf.key.path <- system.file("extdata", "mydf.key.csv", package = "kutils")
> mydf.key <- keyImport(mydf.key.path)
keyImport guessed that is a wide format key.
> ##'
> set.seed(112233)
> N <- 20
> ## The new Jan data arrived!
> mydf2 <- data.frame(x5 = rnorm(N),
+ x4 = rpois(N, lambda = 3),
+ x3 = ordered(sample(c("lo", "med", "hi"),
+ size = N, replace=TRUE),
+ levels = c("med", "lo", "hi")),
+ x2 = letters[sample(c(1:4,6), N, replace = TRUE)],
+ x1 = factor(sample(c("jan"), N, replace = TRUE)),
+ x7 = ordered(letters[sample(c(1:4,6), N, replace = TRUE)]),
+ x6 = sample(c(1:5), N, replace = TRUE),
+ stringsAsFactors = FALSE)
> mydf.key2 <- keyUpdate(mydf.key, mydf2)
> mydf.key2
name_old name_new class_old class_new value_old
x1 x1 x1 factor ordered cindy|bobby|peter|marcia|greg|jan|.
x2 x2 x2 character ordered f|d|c|b|a|.
x3 x3 x3 ordered ordered lo<med<hi<.
x4 x4 x4 integer integer 0|1|2|3|4|5|6|.
x5 x5 x5 numeric character .
x6 x6 x6 integer ordered 1|2|3|4|5|.
x7 x7 x7 ordered ordered f<d<c<b<a<.
value_new missings recodes
x1 Cindy<Bobby<Peter<Marcia<Greg<jan<.
x2 f<d<c<b<a<.
x3 lo<mid<mid<.
x4 0|1|2|3|4|5|6|. >= 999
x5 . <= -999
x6 F<D<C<B<A<.
x7 fail<fail<pass<pass<pass<.
> mydf.key2["x1", "value_old"] <- "cindy|bobby|jan|peter|marcia|greg|."
> mydf.key2["x1", "value_new"] <- "Cindy<Bobby<Jan<Peter<Marcia<Greg<."
> ##'
> mydf.key.path <- system.file("extdata", "mydf.key.csv", package = "kutils")
> mydf.path <- system.file("extdata", "mydf.csv", package = "kutils")
> mydf <- read.csv(mydf.path, stringsAsFactors=FALSE)
> mydf3 <- rbind(mydf, mydf2)
> ## Now recode with revised key
> mydf4 <- keyApply(mydf3, mydf.key2)
x1 (old var)
x1 bobby cindy greg jan marcia peter
Cindy 0 34 0 0 0 0
Bobby 43 0 0 0 0 0
Jan 0 0 0 20 0 0
Peter 0 0 0 0 0 42
Marcia 0 0 0 0 51 0
Greg 0 0 30 0 0 0
x2 (old var)
x2 a b c d f
f 0 0 0 0 36
d 0 0 0 39 0
c 0 0 55 0 0
b 0 45 0 0 0
a 45 0 0 0 0
x3 (old var)
x3 hi lo med
lo 0 72 0
mid 81 0 67
x4 (old var)
x4 0 1 2 3 4 5 6 7 11 999
0 11 0 0 0 0 0 0 0 0 0
1 0 35 0 0 0 0 0 0 0 0
2 0 0 50 0 0 0 0 0 0 0
3 0 0 0 42 0 0 0 0 0 0
4 0 0 0 0 37 0 0 0 0 0
5 0 0 0 0 0 23 0 0 0 0
6 0 0 0 0 0 0 7 0 0 0
<NA> 0 0 0 0 0 0 0 4 1 10
[1] "Variable x5 has 20 unique values. Too large for a table."
x6 (old var)
x6 1 2 3 4 5
F 49 0 0 0 0
D 0 43 0 0 0
C 0 0 35 0 0
B 0 0 0 50 0
A 0 0 0 0 43
x7 (old var)
x7 a b c d f
fail 0 0 0 50 51
pass 39 43 37 0 0
> rockchalk::summarize(mydf4)
Error in loadNamespace(x) : there is no package called ‘rockchalk’
Calls: loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.73
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘RUnit’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc