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 logical 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 Missing observations Any problems?
ID character 257 0.00 % ×
gender factor 2 0.00 %
Rum1 integer 5 0.00 %
Rum2 integer 5 0.00 %
Rum3 integer 5 0.00 %
Rum4 integer 5 0.00 %
Rum5 integer 5 0.00 %
Rum6 integer 5 0.00 %
Rum7 integer 5 0.00 %
Rum8 integer 5 0.00 %
Rum9 integer 5 0.00 %
Rum10 integer 5 0.00 %
Rum11 integer 5 0.00 %
Rum12 integer 4 0.00 %
Rum13 integer 5 0.00 %
Rum14 integer 5 0.00 %
Rum15 integer 5 0.00 %
Rum16 integer 5 0.00 %
Rum17 integer 5 0.00 %
Rum18 integer 5 0.00 %
Rum19 integer 5 0.00 %
Rum20 integer 5 0.00 %
Rum21 integer 5 0.00 %
Rum22 integer 7 0.00 % ×
Sav1 integer 6 0.00 %
Sav2 integer 8 0.00 % ×
Sav3 integer 6 0.00 % ×
Sav4 integer 8 0.00 %
Sav5 integer 6 0.00 %
Sav6 integer 8 0.00 % ×
Sav7 integer 6 0.00 %
Sav8 integer 8 0.00 %
Sav9 integer 7 0.00 % ×
Sav10 integer 7 0.00 %
Sav11 integer 7 0.00 %
Sav12 integer 8 0.00 %
Sav13 integer 7 0.00 %
Sav14 integer 8 0.00 % ×
Sav15 integer 6 0.00 % ×
Sav16 integer 8 0.00 % ×
Sav17 integer 6 0.00 %
Sav18 integer 8 0.00 % ×
Sav19 integer 7 0.00 % ×
Sav20 integer 8 0.00 %
Sav21 integer 6 0.00 % ×
Sav22 integer 8 0.00 % ×
Sav23 integer 6 0.00 %
Sav24 integer 8 0.00 %
LS1 integer 8 0.00 %
LS2 integer 7 0.00 %
LS3 integer 8 0.00 % ×
LS4 integer 8 0.00 % ×
LS5 integer 8 0.00 %
Extraverted integer 6 0.00 %
Critical integer 7 0.00 %
Dependable integer 6 0.00 % ×
Anxious integer 8 0.00 %
NewExperiences integer 7 0.00 % ×
Reserved integer 8 0.00 %
Sympathetic integer 6 0.00 % ×
Disorganized integer 7 0.00 % ×
Calm integer 7 0.00 % ×
Conventional integer 5 0.00 % ×
Health1 integer 5 0.00 %
Health2 integer 5 0.00 % ×
Health3 integer 5 0.00 %
Health4 integer 4 0.00 % ×
Health5 integer 5 0.00 % ×
Health6 integer 5 0.00 % ×
Health7 integer 5 0.00 % ×
Health8 integer 5 0.00 % ×
Health9 integer 5 0.00 %
Health10 integer 5 0.00 % ×
Health11 integer 4 0.00 % ×
Health12 integer 4 0.00 %
Health13 integer 5 0.00 %
Health14 integer 4 0.00 %
Health15 integer 5 0.00 % ×
Health16 integer 5 0.00 % ×
Health17 integer 5 0.00 % ×
Health18 integer 5 0.00 % ×
Health19 integer 5 0.00 % ×
Health20 integer 5 0.00 % ×
Health21 integer 4 0.00 %
Health22 integer 5 0.00 %
Health23 integer 5 0.00 % ×
Health24 integer 5 0.00 % ×
Health25 integer 5 0.00 % ×
Health26 integer 5 0.00 % ×
Health27 integer 4 0.00 % ×
Health28 integer 5 0.00 %
Health29 integer 5 0.00 % ×
Health30 integer 3 0.00 %
Health31 integer 4 0.00 % ×
Health32 integer 5 0.00 % ×
Dep1 integer 4 0.00 %
Dep2 integer 4 0.00 % ×
Dep3 integer 4 0.00 % ×
Dep4 integer 4 0.00 %
Dep5 integer 4 0.00 %
Dep6 integer 4 0.00 % ×
Dep7 integer 4 0.00 %
Dep8 integer 4 0.00 % ×
Dep9 integer 4 0.00 %
Dep10 integer 4 0.00 %
Dep11 integer 3 0.00 %
Dep12 integer 4 0.00 %
Dep13 integer 4 0.00 % ×
Dep14 integer 4 0.00 %
Dep15 integer 4 0.00 % ×
Dep16 integer 4 0.00 %
RRS numeric 38 0.00 % ×
RRS_D numeric 26 0.00 % ×
RRS_R numeric 15 0.00 % ×
RRS_B numeric 15 0.00 %
Sav2R numeric 8 0.00 % ×
Sav4R numeric 8 0.00 %
Sav6R numeric 8 0.00 % ×
Sav8R numeric 8 0.00 %
Sav10R numeric 7 0.00 %
Sav12R numeric 8 0.00 %
Sav14R numeric 8 0.00 % ×
Sav16R numeric 8 0.00 % ×
Sav18R numeric 8 0.00 % ×
Sav20R numeric 8 0.00 %
Sav22R numeric 8 0.00 % ×
Sav24R numeric 8 0.00 %
SBI numeric 30 0.00 % ×
SavPos numeric 33 0.00 % ×
SavNeg integer 29 0.00 % ×
Anticipating numeric 19 0.00 % ×
Moment numeric 17 0.00 %
Reminiscing numeric 20 0.00 % ×
SWLS numeric 21 0.00 % ×
CritR numeric 7 0.00 %
AnxR numeric 8 0.00 %
ResR numeric 8 0.00 %
DisR numeric 7 0.00 % ×
ConvR numeric 5 0.00 % ×
Extraversion numeric 12 0.00 %
Agree numeric 10 0.00 % ×
Consc numeric 11 0.00 % ×
EmoSt numeric 10 0.00 % ×
Openness numeric 9 0.00 % ×
Health numeric 38 0.00 %
Dep4R numeric 4 0.00 %
Dep8R numeric 4 0.00 % ×
Dep12R numeric 4 0.00 %
CESD numeric 17 0.00 % ×

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”