Description Usage Arguments Details Value Note See Also Examples
This function returns a frequency table of labelled vectors, as data frame.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
x |
A vector or a data frame. May also be a grouped data frame (see 'Note' and 'Examples'). |
... |
Optional, unquoted names of variables that should be selected for
further processing. Required, if |
sort.frq |
Determines whether categories should be sorted
according to their frequencies or not. Default is |
weights |
Bare name, or name as string, of a variable in |
auto.grp |
Numeric value, indicating the minimum amount of unique
values in a variable, at which automatic grouping into smaller units
is done (see |
show.strings |
Logical, if |
show.na |
Logical, or |
grp.strings |
Numeric, if not |
min.frq |
Numeric, indicating the minimum frequency for which a
value will be shown in the output (except for the missing values, prevailing
|
out |
Character vector, indicating whether the results should be printed
to console ( |
title |
String, will be used as alternative title to the variable
label. If |
encoding |
Character vector, indicating the charset encoding used
for variable and value labels. Default is |
file |
Destination file, if the output should be saved as file.
Only used when |
The ...-argument not only accepts variable names or expressions from select-helpers. You can also use logical conditions, math operations, or combining variables to produce "crosstables". See 'Examples' for more details.
A list of data frames with values, value labels, frequencies, raw, valid and
cumulative percentages of x
.
x
may also be a grouped data frame (see group_by
)
with up to two grouping variables. Frequency tables are created for each
subgroup then.
The print()
-method adds a table header with information on the
variable label, variable type, total and valid N, and mean and
standard deviations. Mean and SD are always printed, even for
categorical variables (factors) or character vectors. In this case,
values are coerced into numeric vector to calculate the summary
statistics.
To print tables in markdown or HTML format, use print_md()
or
print_html()
.
flat_table
for labelled (proportional) tables.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | # simple vector
data(efc)
frq(efc$e42dep)
# with grouped data frames, in a pipe
library(dplyr)
efc %>%
group_by(e16sex, c172code) %>%
frq(e42dep)
# show only categories with a minimal amount of frequencies
frq(mtcars$gear)
frq(mtcars$gear, min.frq = 10)
frq(mtcars$gear, min.frq = 15)
# with select-helpers: all variables from the COPE-Index
# (which all have a "cop" in their name)
frq(efc, contains("cop"))
# all variables from column "c161sex" to column "c175empl"
frq(efc, c161sex:c175empl)
# for non-labelled data, variable name is printed,
# and "label" column is removed from output
data(iris)
frq(iris, Species)
# also works on grouped data frames
efc %>%
group_by(c172code) %>%
frq(is.na(nur_pst))
# group variables with large range and with weights
efc$weights <- abs(rnorm(n = nrow(efc), mean = 1, sd = .5))
frq(efc, c160age, auto.grp = 5, weights = weights)
# different weight options
frq(efc, c172code, weights = weights)
frq(efc, c172code, weights = "weights")
frq(efc, c172code, weights = efc$weights)
frq(efc$c172code, weights = efc$weights)
# group string values
dummy <- efc[1:50, 3, drop = FALSE]
dummy$words <- sample(
c("Hello", "Helo", "Hole", "Apple", "Ape",
"New", "Old", "System", "Systemic"),
size = nrow(dummy),
replace = TRUE
)
frq(dummy)
frq(dummy, grp.strings = 2)
#### other expressions than variables
# logical conditions
frq(mtcars, cyl ==6)
frq(efc, is.na(nur_pst), contains("cop"))
iris %>%
frq(starts_with("Petal"), Sepal.Length > 5)
# computation of variables "on the fly"
frq(mtcars, (gear + carb) / cyl)
# crosstables
set.seed(123)
d <- data.frame(
var_x = sample(letters[1:3], size = 30, replace = TRUE),
var_y = sample(1:2, size = 30, replace = TRUE),
var_z = sample(LETTERS[8:10], size = 30, replace = TRUE)
)
table(d$var_x, d$var_z)
frq(d, paste0(var_x, var_z))
frq(d, paste0(var_x, var_y, var_z))
|
elder's dependency (x) <numeric>
# total N=908 valid N=901 mean=2.94 sd=0.94
Value | Label | N | Raw % | Valid % | Cum. %
-------------------------------------------------------------
1 | independent | 66 | 7.27 | 7.33 | 7.33
2 | slightly dependent | 225 | 24.78 | 24.97 | 32.30
3 | moderately dependent | 306 | 33.70 | 33.96 | 66.26
4 | severely dependent | 304 | 33.48 | 33.74 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
elder's dependency (e42dep) <numeric>
# grouped by: male, low level of education
# total N=80 valid N=80 mean=3.06 sd=0.92
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------
1 | independent | 5 | 6.25 | 6.25 | 6.25
2 | slightly dependent | 16 | 20.00 | 20.00 | 26.25
3 | moderately dependent | 28 | 35.00 | 35.00 | 61.25
4 | severely dependent | 31 | 38.75 | 38.75 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
elder's dependency (e42dep) <numeric>
# grouped by: male, intermediate level of education
# total N=156 valid N=156 mean=2.83 sd=0.94
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------
1 | independent | 15 | 9.62 | 9.62 | 9.62
2 | slightly dependent | 39 | 25.00 | 25.00 | 34.62
3 | moderately dependent | 59 | 37.82 | 37.82 | 72.44
4 | severely dependent | 43 | 27.56 | 27.56 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
elder's dependency (e42dep) <numeric>
# grouped by: male, high level of education
# total N=43 valid N=43 mean=2.91 sd=0.81
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------
1 | independent | 1 | 2.33 | 2.33 | 2.33
2 | slightly dependent | 13 | 30.23 | 30.23 | 32.56
3 | moderately dependent | 18 | 41.86 | 41.86 | 74.42
4 | severely dependent | 11 | 25.58 | 25.58 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
elder's dependency (e42dep) <numeric>
# grouped by: female, low level of education
# total N=99 valid N=99 mean=2.95 sd=0.94
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------
1 | independent | 7 | 7.07 | 7.07 | 7.07
2 | slightly dependent | 25 | 25.25 | 25.25 | 32.32
3 | moderately dependent | 33 | 33.33 | 33.33 | 65.66
4 | severely dependent | 34 | 34.34 | 34.34 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
elder's dependency (e42dep) <numeric>
# grouped by: female, intermediate level of education
# total N=350 valid N=350 mean=2.90 sd=0.98
Value | Label | N | Raw % | Valid % | Cum. %
-------------------------------------------------------------
1 | independent | 30 | 8.57 | 8.57 | 8.57
2 | slightly dependent | 96 | 27.43 | 27.43 | 36.00
3 | moderately dependent | 104 | 29.71 | 29.71 | 65.71
4 | severely dependent | 120 | 34.29 | 34.29 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
elder's dependency (e42dep) <numeric>
# grouped by: female, high level of education
# total N=113 valid N=113 mean=3.04 sd=0.85
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------
1 | independent | 4 | 3.54 | 3.54 | 3.54
2 | slightly dependent | 26 | 23.01 | 23.01 | 26.55
3 | moderately dependent | 44 | 38.94 | 38.94 | 65.49
4 | severely dependent | 39 | 34.51 | 34.51 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
x <numeric>
# total N=32 valid N=32 mean=3.69 sd=0.74
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
3 | 15 | 46.88 | 46.88 | 46.88
4 | 12 | 37.50 | 37.50 | 84.38
5 | 5 | 15.62 | 15.62 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
x <numeric>
# total N=32 valid N=32 mean=3.69 sd=0.74
Value | N | Raw % | Valid % | Cum. %
--------------------------------------
3 | 15 | 46.88 | 46.88 | 46.88
4 | 12 | 37.50 | 37.50 | 84.38
n < 10 | 5 | 15.62 | 15.62 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
x <numeric>
# total N=32 valid N=32 mean=3.69 sd=0.74
Value | N | Raw % | Valid % | Cum. %
--------------------------------------
3 | 15 | 46.88 | 46.88 | 46.88
n < 15 | 17 | 53.12 | 53.12 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
do you feel you cope well as caregiver? (c82cop1) <numeric>
# total N=908 valid N=901 mean=3.12 sd=0.58
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 3 | 0.33 | 0.33 | 0.33
2 | sometimes | 97 | 10.68 | 10.77 | 11.10
3 | often | 591 | 65.09 | 65.59 | 76.69
4 | always | 210 | 23.13 | 23.31 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
do you find caregiving too demanding? (c83cop2) <numeric>
# total N=908 valid N=902 mean=2.02 sd=0.72
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 186 | 20.48 | 20.62 | 20.62
2 | Sometimes | 547 | 60.24 | 60.64 | 81.26
3 | Often | 130 | 14.32 | 14.41 | 95.68
4 | Always | 39 | 4.30 | 4.32 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving cause difficulties in your relationship with your friends? (c84cop3) <numeric>
# total N=908 valid N=902 mean=1.63 sd=0.87
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 516 | 56.83 | 57.21 | 57.21
2 | Sometimes | 252 | 27.75 | 27.94 | 85.14
3 | Often | 82 | 9.03 | 9.09 | 94.24
4 | Always | 52 | 5.73 | 5.76 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving have negative effect on your physical health? (c85cop4) <numeric>
# total N=908 valid N=898 mean=1.77 sd=0.87
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 409 | 45.04 | 45.55 | 45.55
2 | Sometimes | 346 | 38.11 | 38.53 | 84.08
3 | Often | 85 | 9.36 | 9.47 | 93.54
4 | Always | 58 | 6.39 | 6.46 | 100.00
<NA> | <NA> | 10 | 1.10 | <NA> | <NA>
does caregiving cause difficulties in your relationship with your family? (c86cop5) <numeric>
# total N=908 valid N=902 mean=1.39 sd=0.67
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 626 | 68.94 | 69.40 | 69.40
2 | Sometimes | 211 | 23.24 | 23.39 | 92.79
3 | Often | 50 | 5.51 | 5.54 | 98.34
4 | Always | 15 | 1.65 | 1.66 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving cause financial difficulties? (c87cop6) <numeric>
# total N=908 valid N=900 mean=1.29 sd=0.64
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 713 | 78.52 | 79.22 | 79.22
2 | Sometimes | 131 | 14.43 | 14.56 | 93.78
3 | Often | 39 | 4.30 | 4.33 | 98.11
4 | Always | 17 | 1.87 | 1.89 | 100.00
<NA> | <NA> | 8 | 0.88 | <NA> | <NA>
do you feel trapped in your role as caregiver? (c88cop7) <numeric>
# total N=908 valid N=900 mean=1.92 sd=0.91
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 336 | 37.00 | 37.33 | 37.33
2 | Sometimes | 374 | 41.19 | 41.56 | 78.89
3 | Often | 113 | 12.44 | 12.56 | 91.44
4 | Always | 77 | 8.48 | 8.56 | 100.00
<NA> | <NA> | 8 | 0.88 | <NA> | <NA>
do you feel supported by friends/neighbours? (c89cop8) <numeric>
# total N=908 valid N=901 mean=2.16 sd=1.04
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 313 | 34.47 | 34.74 | 34.74
2 | sometimes | 237 | 26.10 | 26.30 | 61.04
3 | often | 241 | 26.54 | 26.75 | 87.79
4 | always | 110 | 12.11 | 12.21 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
do you feel caregiving worthwhile? (c90cop9) <numeric>
# total N=908 valid N=888 mean=2.93 sd=0.96
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 76 | 8.37 | 8.56 | 8.56
2 | sometimes | 210 | 23.13 | 23.65 | 32.21
3 | often | 300 | 33.04 | 33.78 | 65.99
4 | always | 302 | 33.26 | 34.01 | 100.00
<NA> | <NA> | 20 | 2.20 | <NA> | <NA>
carer's gender (c161sex) <numeric>
# total N=908 valid N=901 mean=1.76 sd=0.43
Value | Label | N | Raw % | Valid % | Cum. %
-----------------------------------------------
1 | Male | 215 | 23.68 | 23.86 | 23.86
2 | Female | 686 | 75.55 | 76.14 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
carer's level of education (c172code) <numeric>
# total N=908 valid N=842 mean=1.97 sd=0.63
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------------------
1 | low level of education | 180 | 19.82 | 21.38 | 21.38
2 | intermediate level of education | 506 | 55.73 | 60.10 | 81.47
3 | high level of education | 156 | 17.18 | 18.53 | 100.00
<NA> | <NA> | 66 | 7.27 | <NA> | <NA>
are you currently employed? (c175empl) <numeric>
# total N=908 valid N=902 mean=0.43 sd=0.49
Value | Label | N | Raw % | Valid % | Cum. %
----------------------------------------------
0 | no | 518 | 57.05 | 57.43 | 57.43
1 | yes | 384 | 42.29 | 42.57 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
Species <categorical>
# total N=150 valid N=150 mean=2.00 sd=0.82
Value | N | Raw % | Valid % | Cum. %
------------------------------------------
setosa | 50 | 33.33 | 33.33 | 33.33
versicolor | 50 | 33.33 | 33.33 | 66.67
virginica | 50 | 33.33 | 33.33 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
is.na(nur_pst) <lgl>
# grouped by: low level of education
# total N=180 valid N=180 mean=0.51 sd=0.50
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
FALSE | 89 | 49.44 | 49.44 | 49.44
TRUE | 91 | 50.56 | 50.56 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
is.na(nur_pst) <lgl>
# grouped by: intermediate level of education
# total N=506 valid N=506 mean=0.46 sd=0.50
Value | N | Raw % | Valid % | Cum. %
--------------------------------------
FALSE | 274 | 54.15 | 54.15 | 54.15
TRUE | 232 | 45.85 | 45.85 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
is.na(nur_pst) <lgl>
# grouped by: high level of education
# total N=156 valid N=156 mean=0.47 sd=0.50
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
FALSE | 83 | 53.21 | 53.21 | 53.21
TRUE | 73 | 46.79 | 46.79 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
carer' age (c160age) <numeric>
# total N=908 valid N=908 mean=53.43 sd=13.21
Value | Label | N | Raw % | Valid % | Cum. %
----------------------------------------------
1 | 18-32 | 61 | 6.72 | 6.72 | 6.72
2 | 33-47 | 233 | 25.66 | 25.66 | 32.38
3 | 48-62 | 375 | 41.30 | 41.30 | 73.68
4 | 63-77 | 214 | 23.57 | 23.57 | 97.25
5 | 78-92 | 25 | 2.75 | 2.75 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
carer's level of education (c172code) <numeric>
# total N=847 valid N=847 mean=1.98 sd=0.63
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------------------
1 | low level of education | 177 | 20.90 | 20.90 | 20.90
2 | intermediate level of education | 511 | 60.33 | 60.33 | 81.23
3 | high level of education | 159 | 18.77 | 18.77 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
carer's level of education (c172code) <numeric>
# total N=847 valid N=847 mean=1.98 sd=0.63
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------------------
1 | low level of education | 177 | 20.90 | 20.90 | 20.90
2 | intermediate level of education | 511 | 60.33 | 60.33 | 81.23
3 | high level of education | 159 | 18.77 | 18.77 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
carer's level of education (c172code) <numeric>
# total N=847 valid N=847 mean=1.98 sd=0.63
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------------------
1 | low level of education | 177 | 20.90 | 20.90 | 20.90
2 | intermediate level of education | 511 | 60.33 | 60.33 | 81.23
3 | high level of education | 159 | 18.77 | 18.77 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
carer's level of education (xw) <numeric>
# total N=847 valid N=847 mean=1.98 sd=0.63
Value | Label | N | Raw % | Valid % | Cum. %
------------------------------------------------------------------------
1 | low level of education | 177 | 20.90 | 20.90 | 20.90
2 | intermediate level of education | 511 | 60.33 | 60.33 | 81.23
3 | high level of education | 159 | 18.77 | 18.77 | 100.00
<NA> | <NA> | 0 | 0.00 | <NA> | <NA>
e16sex <numeric>
# total N=50 valid N=50 mean=1.56 sd=0.50
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
1 | 22 | 44.00 | 44.00 | 44
2 | 28 | 56.00 | 56.00 | 100
<NA> | 0 | 0.00 | <NA> | <NA>
words <character>
# total N=50 valid N=50 mean=4.76 sd=2.29
Value | N | Raw % | Valid % | Cum. %
---------------------------------------
Ape | 5 | 10.00 | 10.00 | 10
Apple | 4 | 8.00 | 8.00 | 18
Hello | 8 | 16.00 | 16.00 | 34
Helo | 6 | 12.00 | 12.00 | 46
Hole | 7 | 14.00 | 14.00 | 60
New | 7 | 14.00 | 14.00 | 74
Old | 5 | 10.00 | 10.00 | 84
System | 7 | 14.00 | 14.00 | 98
Systemic | 1 | 2.00 | 2.00 | 100
<NA> | 0 | 0.00 | <NA> | <NA>
sh: 1: wc: Permission denied
Could not detect number of cores, defaulting to 1.
e16sex <numeric>
# total N=50 valid N=50 mean=1.56 sd=0.50
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
1 | 22 | 44.00 | 44.00 | 44
2 | 28 | 56.00 | 56.00 | 100
<NA> | 0 | 0.00 | <NA> | <NA>
words <character>
# total N=50 valid N=50 mean=3.30 sd=1.68
Value | N | Raw % | Valid % | Cum. %
------------------------------------------------
Ape, Apple | 9 | 18.00 | 18.00 | 18
Hello | 8 | 16.00 | 16.00 | 34
Helo, Hole | 13 | 26.00 | 26.00 | 60
New | 7 | 14.00 | 14.00 | 74
Old | 5 | 10.00 | 10.00 | 84
System, Systemic | 8 | 16.00 | 16.00 | 100
<NA> | 0 | 0.00 | <NA> | <NA>
cyl == 6 <lgl>
# total N=32 valid N=32 mean=0.22 sd=0.42
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
FALSE | 25 | 78.12 | 78.12 | 78.12
TRUE | 7 | 21.88 | 21.88 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
is.na(nur_pst) <lgl>
# total N=908 valid N=908 mean=0.46 sd=0.50
Value | N | Raw % | Valid % | Cum. %
--------------------------------------
FALSE | 489 | 53.85 | 53.85 | 53.85
TRUE | 419 | 46.15 | 46.15 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
do you feel you cope well as caregiver? (c82cop1) <numeric>
# total N=908 valid N=901 mean=3.12 sd=0.58
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 3 | 0.33 | 0.33 | 0.33
2 | sometimes | 97 | 10.68 | 10.77 | 11.10
3 | often | 591 | 65.09 | 65.59 | 76.69
4 | always | 210 | 23.13 | 23.31 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
do you find caregiving too demanding? (c83cop2) <numeric>
# total N=908 valid N=902 mean=2.02 sd=0.72
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 186 | 20.48 | 20.62 | 20.62
2 | Sometimes | 547 | 60.24 | 60.64 | 81.26
3 | Often | 130 | 14.32 | 14.41 | 95.68
4 | Always | 39 | 4.30 | 4.32 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving cause difficulties in your relationship with your friends? (c84cop3) <numeric>
# total N=908 valid N=902 mean=1.63 sd=0.87
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 516 | 56.83 | 57.21 | 57.21
2 | Sometimes | 252 | 27.75 | 27.94 | 85.14
3 | Often | 82 | 9.03 | 9.09 | 94.24
4 | Always | 52 | 5.73 | 5.76 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving have negative effect on your physical health? (c85cop4) <numeric>
# total N=908 valid N=898 mean=1.77 sd=0.87
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 409 | 45.04 | 45.55 | 45.55
2 | Sometimes | 346 | 38.11 | 38.53 | 84.08
3 | Often | 85 | 9.36 | 9.47 | 93.54
4 | Always | 58 | 6.39 | 6.46 | 100.00
<NA> | <NA> | 10 | 1.10 | <NA> | <NA>
does caregiving cause difficulties in your relationship with your family? (c86cop5) <numeric>
# total N=908 valid N=902 mean=1.39 sd=0.67
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 626 | 68.94 | 69.40 | 69.40
2 | Sometimes | 211 | 23.24 | 23.39 | 92.79
3 | Often | 50 | 5.51 | 5.54 | 98.34
4 | Always | 15 | 1.65 | 1.66 | 100.00
<NA> | <NA> | 6 | 0.66 | <NA> | <NA>
does caregiving cause financial difficulties? (c87cop6) <numeric>
# total N=908 valid N=900 mean=1.29 sd=0.64
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 713 | 78.52 | 79.22 | 79.22
2 | Sometimes | 131 | 14.43 | 14.56 | 93.78
3 | Often | 39 | 4.30 | 4.33 | 98.11
4 | Always | 17 | 1.87 | 1.89 | 100.00
<NA> | <NA> | 8 | 0.88 | <NA> | <NA>
do you feel trapped in your role as caregiver? (c88cop7) <numeric>
# total N=908 valid N=900 mean=1.92 sd=0.91
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | Never | 336 | 37.00 | 37.33 | 37.33
2 | Sometimes | 374 | 41.19 | 41.56 | 78.89
3 | Often | 113 | 12.44 | 12.56 | 91.44
4 | Always | 77 | 8.48 | 8.56 | 100.00
<NA> | <NA> | 8 | 0.88 | <NA> | <NA>
do you feel supported by friends/neighbours? (c89cop8) <numeric>
# total N=908 valid N=901 mean=2.16 sd=1.04
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 313 | 34.47 | 34.74 | 34.74
2 | sometimes | 237 | 26.10 | 26.30 | 61.04
3 | often | 241 | 26.54 | 26.75 | 87.79
4 | always | 110 | 12.11 | 12.21 | 100.00
<NA> | <NA> | 7 | 0.77 | <NA> | <NA>
do you feel caregiving worthwhile? (c90cop9) <numeric>
# total N=908 valid N=888 mean=2.93 sd=0.96
Value | Label | N | Raw % | Valid % | Cum. %
--------------------------------------------------
1 | never | 76 | 8.37 | 8.56 | 8.56
2 | sometimes | 210 | 23.13 | 23.65 | 32.21
3 | often | 300 | 33.04 | 33.78 | 65.99
4 | always | 302 | 33.26 | 34.01 | 100.00
<NA> | <NA> | 20 | 2.20 | <NA> | <NA>
Petal.Length <numeric>
# total N=150 valid N=150 mean=3.76 sd=1.77
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
1.00 | 1 | 0.67 | 0.67 | 0.67
1.10 | 1 | 0.67 | 0.67 | 1.33
1.20 | 2 | 1.33 | 1.33 | 2.67
1.30 | 7 | 4.67 | 4.67 | 7.33
1.40 | 13 | 8.67 | 8.67 | 16.00
1.50 | 13 | 8.67 | 8.67 | 24.67
1.60 | 7 | 4.67 | 4.67 | 29.33
1.70 | 4 | 2.67 | 2.67 | 32.00
1.90 | 2 | 1.33 | 1.33 | 33.33
3.00 | 1 | 0.67 | 0.67 | 34.00
3.30 | 2 | 1.33 | 1.33 | 35.33
3.50 | 2 | 1.33 | 1.33 | 36.67
3.60 | 1 | 0.67 | 0.67 | 37.33
3.70 | 1 | 0.67 | 0.67 | 38.00
3.80 | 1 | 0.67 | 0.67 | 38.67
3.90 | 3 | 2.00 | 2.00 | 40.67
4.00 | 5 | 3.33 | 3.33 | 44.00
4.10 | 3 | 2.00 | 2.00 | 46.00
4.20 | 4 | 2.67 | 2.67 | 48.67
4.30 | 2 | 1.33 | 1.33 | 50.00
4.40 | 4 | 2.67 | 2.67 | 52.67
4.50 | 8 | 5.33 | 5.33 | 58.00
4.60 | 3 | 2.00 | 2.00 | 60.00
4.70 | 5 | 3.33 | 3.33 | 63.33
4.80 | 4 | 2.67 | 2.67 | 66.00
4.90 | 5 | 3.33 | 3.33 | 69.33
5.00 | 4 | 2.67 | 2.67 | 72.00
5.10 | 8 | 5.33 | 5.33 | 77.33
5.20 | 2 | 1.33 | 1.33 | 78.67
5.30 | 2 | 1.33 | 1.33 | 80.00
5.40 | 2 | 1.33 | 1.33 | 81.33
5.50 | 3 | 2.00 | 2.00 | 83.33
5.60 | 6 | 4.00 | 4.00 | 87.33
5.70 | 3 | 2.00 | 2.00 | 89.33
5.80 | 3 | 2.00 | 2.00 | 91.33
5.90 | 2 | 1.33 | 1.33 | 92.67
6.00 | 2 | 1.33 | 1.33 | 94.00
6.10 | 3 | 2.00 | 2.00 | 96.00
6.30 | 1 | 0.67 | 0.67 | 96.67
6.40 | 1 | 0.67 | 0.67 | 97.33
6.60 | 1 | 0.67 | 0.67 | 98.00
6.70 | 2 | 1.33 | 1.33 | 99.33
6.90 | 1 | 0.67 | 0.67 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
Petal.Width <numeric>
# total N=150 valid N=150 mean=1.20 sd=0.76
Value | N | Raw % | Valid % | Cum. %
-------------------------------------
0.10 | 5 | 3.33 | 3.33 | 3.33
0.20 | 29 | 19.33 | 19.33 | 22.67
0.30 | 7 | 4.67 | 4.67 | 27.33
0.40 | 7 | 4.67 | 4.67 | 32.00
0.50 | 1 | 0.67 | 0.67 | 32.67
0.60 | 1 | 0.67 | 0.67 | 33.33
1.00 | 7 | 4.67 | 4.67 | 38.00
1.10 | 3 | 2.00 | 2.00 | 40.00
1.20 | 5 | 3.33 | 3.33 | 43.33
1.30 | 13 | 8.67 | 8.67 | 52.00
1.40 | 8 | 5.33 | 5.33 | 57.33
1.50 | 12 | 8.00 | 8.00 | 65.33
1.60 | 4 | 2.67 | 2.67 | 68.00
1.70 | 2 | 1.33 | 1.33 | 69.33
1.80 | 12 | 8.00 | 8.00 | 77.33
1.90 | 5 | 3.33 | 3.33 | 80.67
2.00 | 6 | 4.00 | 4.00 | 84.67
2.10 | 6 | 4.00 | 4.00 | 88.67
2.20 | 3 | 2.00 | 2.00 | 90.67
2.30 | 8 | 5.33 | 5.33 | 96.00
2.40 | 3 | 2.00 | 2.00 | 98.00
2.50 | 3 | 2.00 | 2.00 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
Sepal.Length > 5 <lgl>
# total N=150 valid N=150 mean=0.79 sd=0.41
Value | N | Raw % | Valid % | Cum. %
--------------------------------------
FALSE | 32 | 21.33 | 21.33 | 21.33
TRUE | 118 | 78.67 | 78.67 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
(gear + carb)/cyl <numeric>
# total N=32 valid N=32 mean=1.12 sd=0.38
Value | N | Raw % | Valid % | Cum. %
------------------------------------
0.62 | 4 | 12.50 | 12.50 | 12.50
0.67 | 2 | 6.25 | 6.25 | 18.75
0.75 | 3 | 9.38 | 9.38 | 28.12
0.88 | 5 | 15.62 | 15.62 | 43.75
1.00 | 1 | 3.12 | 3.12 | 46.88
1.12 | 1 | 3.12 | 3.12 | 50.00
1.25 | 4 | 12.50 | 12.50 | 62.50
1.33 | 4 | 12.50 | 12.50 | 75.00
1.50 | 4 | 12.50 | 12.50 | 87.50
1.62 | 1 | 3.12 | 3.12 | 90.62
1.75 | 2 | 6.25 | 6.25 | 96.88
1.83 | 1 | 3.12 | 3.12 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
H I J
a 1 5 2
b 3 4 4
c 6 2 3
paste0(var_x, var_z) <character>
# total N=30 valid N=30 mean=5.27 sd=2.38
Value | N | Raw % | Valid % | Cum. %
------------------------------------
aH | 1 | 3.33 | 3.33 | 3.33
aI | 5 | 16.67 | 16.67 | 20.00
aJ | 2 | 6.67 | 6.67 | 26.67
bH | 3 | 10.00 | 10.00 | 36.67
bI | 4 | 13.33 | 13.33 | 50.00
bJ | 4 | 13.33 | 13.33 | 63.33
cH | 6 | 20.00 | 20.00 | 83.33
cI | 2 | 6.67 | 6.67 | 90.00
cJ | 3 | 10.00 | 10.00 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
paste0(var_x, var_y, var_z) <character>
# total N=30 valid N=30 mean=6.97 sd=3.69
Value | N | Raw % | Valid % | Cum. %
------------------------------------
a1H | 1 | 3.33 | 3.33 | 3.33
a1J | 2 | 6.67 | 6.67 | 10.00
a2I | 5 | 16.67 | 16.67 | 26.67
b1H | 2 | 6.67 | 6.67 | 33.33
b1I | 3 | 10.00 | 10.00 | 43.33
b1J | 2 | 6.67 | 6.67 | 50.00
b2H | 1 | 3.33 | 3.33 | 53.33
b2I | 1 | 3.33 | 3.33 | 56.67
b2J | 2 | 6.67 | 6.67 | 63.33
c1H | 5 | 16.67 | 16.67 | 80.00
c1I | 2 | 6.67 | 6.67 | 86.67
c1J | 3 | 10.00 | 10.00 | 96.67
c2H | 1 | 3.33 | 3.33 | 100.00
<NA> | 0 | 0.00 | <NA> | <NA>
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