Data report overview

The dataset examined has the following dimensions:

Feature	Result
Number of observations	257
Number of variables	149

Reverse-coded items are identified below. For these variables, the following function was used:

‘reverse<-function(max,min,x) { y<-(max+min)-x return(y) }’

Checks performed

The following variable checks were performed, depending on the data type of each variable:

	character	factor	labelled	numeric	integer	Date
Identify miscoded missing values	×	×	×	×	×	×
Identify prefixed and suffixed whitespace	×	×	×
Identify levels with < 6 obs.	×	×	×
Identify case issues	×	×	×
Identify misclassified numeric or integer variables	×	×	×
Identify outliers				×	×	×

Please note that all numerical values in the following have been rounded to 2 decimals.

Summary table

	Variable class	# unique values	Any problems?
ID	character	257	×
gender	factor	2
Rum1	integer	5
Rum2	integer	5
Rum3	integer	5
Rum4	integer	5
Rum5	integer	5
Rum6	integer	5
Rum7	integer	5
Rum8	integer	5
Rum9	integer	5
Rum10	integer	5
Rum11	integer	5
Rum12	integer	4
Rum13	integer	5
Rum14	integer	5
Rum15	integer	5
Rum16	integer	5
Rum17	integer	5
Rum18	integer	5
Rum19	integer	5
Rum20	integer	5
Rum21	integer	5
Rum22	integer	7	×
Sav1	integer	6
Sav2	integer	8	×
Sav3	integer	6	×
Sav4	integer	8
Sav5	integer	6
Sav6	integer	8	×
Sav7	integer	6
Sav8	integer	8
Sav9	integer	7	×
Sav10	integer	7
Sav11	integer	7
Sav12	integer	8
Sav13	integer	7
Sav14	integer	8	×
Sav15	integer	6	×
Sav16	integer	8	×
Sav17	integer	6
Sav18	integer	8	×
Sav19	integer	7	×
Sav20	integer	8
Sav21	integer	6	×
Sav22	integer	8	×
Sav23	integer	6
Sav24	integer	8
LS1	integer	8
LS2	integer	7
LS3	integer	8	×
LS4	integer	8	×
LS5	integer	8
Extraverted	integer	6
Critical	integer	7
Dependable	integer	6	×
Anxious	integer	8
NewExperiences	integer	7	×
Reserved	integer	8
Sympathetic	integer	6	×
Disorganized	integer	7	×
Calm	integer	7	×
Conventional	integer	5	×
Health1	integer	5
Health2	integer	5	×
Health3	integer	5
Health4	integer	4	×
Health5	integer	5	×
Health6	integer	5	×
Health7	integer	5	×
Health8	integer	5	×
Health9	integer	5
Health10	integer	5	×
Health11	integer	4	×
Health12	integer	4
Health13	integer	5
Health14	integer	4
Health15	integer	5	×
Health16	integer	5	×
Health17	integer	5	×
Health18	integer	5	×
Health19	integer	5	×
Health20	integer	5	×
Health21	integer	4
Health22	integer	5
Health23	integer	5	×
Health24	integer	5	×
Health25	integer	5	×
Health26	integer	5	×
Health27	integer	4	×
Health28	integer	5
Health29	integer	5	×
Health30	integer	3
Health31	integer	4	×
Health32	integer	5	×
Dep1	integer	4
Dep2	integer	4	×
Dep3	integer	4	×
Dep4	integer	4
Dep5	integer	4
Dep6	integer	4	×
Dep7	integer	4
Dep8	integer	4	×
Dep9	integer	4
Dep10	integer	4
Dep11	integer	3
Dep12	integer	4
Dep13	integer	4	×
Dep14	integer	4
Dep15	integer	4	×
Dep16	integer	4
RRS	numeric	38	×
RRS_D	numeric	26	×
RRS_R	numeric	15	×
RRS_B	numeric	15
Sav2R	numeric	8	×
Sav4R	numeric	8
Sav6R	numeric	8	×
Sav8R	numeric	8
Sav10R	numeric	7
Sav12R	numeric	8
Sav14R	numeric	8	×
Sav16R	numeric	8	×
Sav18R	numeric	8	×
Sav20R	numeric	8
Sav22R	numeric	8	×
Sav24R	numeric	8
SBI	numeric	30	×
SavPos	numeric	33	×
SavNeg	integer	29	×
Anticipating	numeric	19	×
Moment	numeric	17
Reminiscing	numeric	20	×
SWLS	numeric	21	×
CritR	numeric	7
AnxR	numeric	8
ResR	numeric	8
DisR	numeric	7	×
ConvR	numeric	5	×
Extraversion	numeric	12
Agree	numeric	10	×
Consc	numeric	11	×
EmoSt	numeric	10	×
Openness	numeric	9	×
Health	numeric	38
Dep4R	numeric	4
Dep8R	numeric	4	×
Dep12R	numeric	4
CESD	numeric	17	×

Variable list

ID

The variable is a key (distinct values for each observation).

gender

‘Facebook$gender<-factor(Facebook$gender, labels=c(“Male”,“Female”))’

Feature	Result
Variable type	factor
Number of missing obs.	0 (0 %)
Number of unique values	2
Mode	“Female”

Rum1

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum2

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum3

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum4

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum5

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Brooding

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum6

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum7

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Reflective

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum8

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Rum9

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Rum10

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Brooding

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum11

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Reflective

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum12

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Reflective

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Rum13

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Brooding

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum14

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum15

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Brooding

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Rum16

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Brooding

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum17

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum18

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum19

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum20

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Reflective

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum21

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Subscale: Reflective

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Rum22

Subscale: Depression-Related Rumination

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	1
1st and 3rd quartiles	1; 2
Min. and max.	0; 6

Note that the following possible outlier values were detected: "0".

Sav1

Subscale: Anticipating

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 7

Sav2

Subscale: Moment Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	2; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "0", "1".

Sav3

Subscale: Reminiscing

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	6; 7
Min. and max.	2; 7

Note that the following possible outlier values were detected: "2", "3", "4".

Sav4

Subscale: Anticipating Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	0; 7

Sav5

Subscale: Moment

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 7

Sav6

Subscale: Reminiscing Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	1; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "7".

Sav7

Subscale: Anticipating

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 7

Sav8

Subscale: Moment Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	0; 7

Sav9

Subscale: Reminiscing

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	1; 7

Note that the following possible outlier values were detected: "7".

Sav10

Subscale: Anticipating Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	2
1st and 3rd quartiles	1; 3
Min. and max.	0; 6

Sav11

Subscale: Moment

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 7

Sav12

Subscale: Reminiscing Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	0; 7

Sav13

Subscale: Anticipating

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 7

Sav14

Subscale: Moment Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	2; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "0", "1".

Sav15

Subscale: Reminiscing

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	2; 7

Note that the following possible outlier values were detected: "7".

Sav16

Subscale: Anticipating Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	2; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "0", "1".

Sav17

Subscale: Moment

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 7

Sav18

Subscale: Reminiscing Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	1; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "7".

Sav19

Subscale: Anticipating

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	4; 6
Min. and max.	1; 7

Note that the following possible outlier values were detected: "7".

Sav20

Subscale: Moment Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	0; 7

Sav21

Subscale: Reminscing

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	4; 6
Min. and max.	2; 7

Note that the following possible outlier values were detected: "7".

Sav22

Subscale: Anticipating Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	2; 3
Min. and max.	0; 7

Note that the following possible outlier values were detected: "0", "1".

Sav23

Subscale: Moment

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 7

Sav24

Subscale: Reminiscing Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	2
1st and 3rd quartiles	1; 3
Min. and max.	0; 7

LS1

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	3; 6
Min. and max.	0; 7

LS2

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 7

LS3

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	4; 6
Min. and max.	0; 7

Note that the following possible outlier values were detected: "7".

LS4

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	4; 6
Min. and max.	0; 7

Note that the following possible outlier values were detected: "7".

LS5

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	3; 6
Min. and max.	0; 7

Extraverted

Subscale: Extraversion

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	2; 7

Critical

Subscale: Agreeableness Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	5
1st and 3rd quartiles	3; 6
Min. and max.	1; 7

Dependable

Subscale: Conscientiousness

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	2; 7

Note that the following possible outlier values were detected: "7".

Anxious

Subscale: Emotional Stability Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	0; 7

NewExperiences

Subscale: Openness

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	0; 7

Note that the following possible outlier values were detected: "7".

Reserved

Subscale: Extraversion Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	4
1st and 3rd quartiles	3; 5
Min. and max.	0; 7

Sympathetic

Subscale: Agreeableness

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	6
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	2; 7

Note that the following possible outlier values were detected: "7".

Disorganized

Subscale: Conscientiousness Reverse-coded item.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	0; 7

Note that the following possible outlier values were detected: "0".

Calm

Subscale: Emotional Stability

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	4; 6
Min. and max.	1; 7

Note that the following possible outlier values were detected: "7".

Conventional

Subscale: Openness Reverse-coded item.

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“3”

Note that the following levels have at most five observations: "0", "1".

Health1

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Health2

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Health3

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Health4

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Health5

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health6

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health7

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health8

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Health9

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Health10

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health11

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Health12

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Health13

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Health14

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Health15

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health16

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health17

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Health18

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health19

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health20

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health21

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Health22

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Health23

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Health24

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "3", "4".

Health25

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Health26

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health27

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Health28

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“2”

Health29

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“0”

Note that the following levels have at most five observations: "4".

Health30

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	3
Mode	“0”

Health31

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Health32

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“1”

Note that the following levels have at most five observations: "4".

Dep1

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep2

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep3

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep4

Reverse-coded item.

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“1”

Dep5

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“1”

Dep6

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep7

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep8

Reverse-coded item.

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep9

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep10

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep11

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	3
Mode	“0”

Dep12

Reverse-coded item.

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep13

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep14

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Dep15

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

Note that the following levels have at most five observations: "3".

Dep16

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“0”

RRS

Total Ruminative Response Scale Score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	38
Median	37
1st and 3rd quartiles	32; 43
Min. and max.	17; 60

Note that the following possible outlier values were detected: "60".

RRS_D

Ruminative Response Scale Depression-Related Rumination subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	26
Median	21
1st and 3rd quartiles	17; 24
Min. and max.	10; 37

Note that the following possible outlier values were detected: "36", "37".

RRS_R

Ruminative Response Scale Reflecting subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	15
Median	8
1st and 3rd quartiles	6; 10
Min. and max.	1; 17

Note that the following possible outlier values were detected: "17".

RRS_B

Ruminative Response Scale Brooding subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	15
Median	8
1st and 3rd quartiles	6; 10
Min. and max.	2; 16

Sav2R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	1; 8

Note that the following possible outlier values were detected: "7", "8".

Sav4R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

Sav6R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	1; 8

Note that the following possible outlier values were detected: "1".

Sav8R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

Sav10R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	2; 8

Sav12R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

Sav14R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	1; 8

Note that the following possible outlier values were detected: "7", "8".

Sav16R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	1; 8

Note that the following possible outlier values were detected: "7", "8".

Sav18R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	1; 8

Note that the following possible outlier values were detected: "1".

Sav20R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	5
1st and 3rd quartiles	4; 6
Min. and max.	1; 8

Sav22R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 6
Min. and max.	1; 8

Note that the following possible outlier values were detected: "7", "8".

Sav24R

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	6
1st and 3rd quartiles	5; 7
Min. and max.	1; 8

SBI

Total Savoring Belief Inventory score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	30
Median	131
1st and 3rd quartiles	128; 137
Min. and max.	114; 151

Note that the following possible outlier values were detected: "114", "118".

SavPos

Total score for Savoring Belief Inventory Positively-Worded Items

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	33
Median	66
1st and 3rd quartiles	61; 70
Min. and max.	37; 83

Note that the following possible outlier values were detected: "37", "78", "80", "81", "83".

SavNeg

Total Savoring Belief Inventory Score for Negatively-Worded Items

Feature	Result
Variable type	integer
Number of missing obs.	0 (0 %)
Number of unique values	29
Median	67
1st and 3rd quartiles	64; 71
Min. and max.	49; 78

Note that the following possible outlier values were detected: "49", "50", "51", "53".

Anticipating

Savoring Belief Inventory Anticipating subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	19
Median	44
1st and 3rd quartiles	41; 46
Min. and max.	35; 54

Note that the following possible outlier values were detected: "54".

Moment

Savoring Belief Inventory Savoring the Moment subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	17
Median	43
1st and 3rd quartiles	41; 45
Min. and max.	35; 51

Reminiscing

Savoring Belief Inventory Reminiscing subscale score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	20
Median	45
1st and 3rd quartiles	43; 47
Min. and max.	32; 54

Note that the following possible outlier values were detected: "32", "36", "54".

SWLS

Satisfaction with Life Scale total score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	21
Median	24
1st and 3rd quartiles	22; 27
Min. and max.	13; 33

Note that the following possible outlier values were detected: "13", "14".

CritR

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	3
1st and 3rd quartiles	2; 5
Min. and max.	1; 7

AnxR

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	1; 8

ResR

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	8
Median	4
1st and 3rd quartiles	3; 5
Min. and max.	1; 8

DisR

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	7
Median	3
1st and 3rd quartiles	2; 4
Min. and max.	1; 8

The following suspected missing value codes enter as regular values: "8".
Note that the following possible outlier values were detected: "8".

ConvR

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	5
Mode	“5”

The following suspected missing value codes enter as regular values: "8".
Note that the following levels have at most five observations: "7", "8".

Extraversion

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	12
Median	4.5
1st and 3rd quartiles	3.5; 5
Min. and max.	1.5; 7

Agree

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	10
Median	4.5
1st and 3rd quartiles	4; 5
Min. and max.	2; 6.5

Note that the following possible outlier values were detected: "2".

Consc

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	11
Median	4
1st and 3rd quartiles	4; 5
Min. and max.	1.5; 6.5

Note that the following possible outlier values were detected: "1.5", "2", "2.5", "3", "3.5".

EmoSt

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	10
Median	4.5
1st and 3rd quartiles	3.5; 5
Min. and max.	2; 6.5

Note that the following possible outlier values were detected: "6.5".

Openness

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	9
Median	5.5
1st and 3rd quartiles	5; 6
Min. and max.	3; 7

Note that the following possible outlier values were detected: "6.5", "7".

Health

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	38
Median	31
1st and 3rd quartiles	26; 37
Min. and max.	12; 54

Dep4R

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“2”

Dep8R

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“3”

Note that the following levels have at most five observations: "0".

Dep12R

Note that this variable is treated as a factor variable below, as it only takes a few unique values.

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	4
Mode	“3”

CESD

Center of Epidemiologic Studies-Depression Scale total score

Feature	Result
Variable type	numeric
Number of missing obs.	0 (0 %)
Number of unique values	17
Median	15
1st and 3rd quartiles	13; 18
Min. and max.	8; 25

Note that the following possible outlier values were detected: "8", "9".

Report generation information:

Created by Sara Locatelli.
Report creation time: Mon Apr 16 2018 10:19:15
dataMaid v1.1.0 [Pkg: 2018-02-06 from CRAN (R 3.4.3)]
R version 3.4.4 (2018-03-15).
Platform: x86_64-apple-darwin15.6.0 (64-bit)(macOS High Sierra 10.13.3).
Function call: makeDataReport(data = Facebook, output = "html", render = FALSE, file = "report2_Facebook.Rmd")

Facebook

Autogenerated data summary from dataMaid

2018-04-16 10:19:14

Data report overview

Checks performed

Summary table

Variable list

ID

gender

Rum1

Rum2

Rum3

Rum4

Rum5

Rum6

Rum7

Rum8

Rum9

Rum10

Rum11

Rum12

Rum13

Rum14

Rum15

Rum16

Rum17

Rum18

Rum19

Rum20

Rum21

Rum22

Sav1

Sav2

Sav3

Sav4

Sav5

Sav6

Sav7

Sav8

Sav9

Sav10

Sav11

Sav12

Sav13

Sav14

Sav15

Sav16

Sav17

Sav18

Sav19

Sav20

Sav21

Sav22

Sav23

Sav24

LS1

LS2

LS3

LS4

LS5

Extraverted

Critical

Dependable

Anxious

NewExperiences

Reserved

Sympathetic

Disorganized

Calm

Conventional

Health1

Health2

Health3

Health4

Health5

Health6

Health7

Health8

Health9

Health10