Tried this code sapply(df,function(x) as.numeric(as.character(x))), gives an error and is removing all the observation
CodePudding user response：
Try this
df[] <- lapply(df , as.numeric)
CodePudding user response：
This is the output:
data.frame': 753 obs. of 52 variables:
$ Language : num 0 0 0 0 5 0 0 0 1 0 ...
$ Ethinicity : num 0 0 0 0 4 0 0 0 0 0 ...
$ Nationality : num 0 0 0 0 4 0 0 0 3 0 ...
$ MartialStatus : num 2 3 2 3 3 1 3 2 3 3 ...
$ SexualPreference : num NA NA NA NA 0 0 0 2 0 0 ...
$ Covid19 : num NA NA NA NA 1 1 1 0 1 1 ...
$ Mood : num 0 1 0 1 NA 0 1 0 NA 1 ...
$ Little interest : chr "2" "4" "1" "4" ...
$ Feeling down : chr "2" "4" "1" "4" ...
$ Trouble falling or staying asleep: chr "1" "4" "1" "4" ...
$ Feeling tired : chr "2" "4" "1" "4" ...
$ Poor appetite : chr "4" "4" "1" "4" ...
$ Feeling bad about yourself : chr "4" "4" "4" "4" ...
$ Troubleconcentrating : chr "4" "4" "1" "4" ...
$ Moving or speaking : chr "4" "4" "1" "4" ...
$ SucidialThoughts : chr "4" "4" "4" "4" ...
$ Smoking : num 1 0 0 0 0 NA 0 0 NA 1 ...
$ Alcohol : num 1 2 1 2 0 NA 1 2 NA 1 ...
$ Nervous : chr "1" "4" "1" "4" ...
$ ControlWorrying : chr "1" "4" "1" "4" ...
$ WorryingMore : chr "4" "4" "1" "4" ...
$ Troublerelaxing : chr "4" "1" "1" "4" ...
$ Restless : chr "4" "4" "1" "4" ...
$ Annoyed : chr "4" "4" "1" "4" ...
$ Feeling afraid : chr "4" "4" "1" "4" ...
$ PhysicalActivity : num 6 6 6 6 6 NA 6 6 NA 6 ...
$ Exercises : chr "1" "3" "1" "2" ...
$ Cycling : chr "1" "1" "1" "2" ...
$ Walking : chr "2" "4" "4" "4" ...
$ Housework : chr "4" "3" "4" "3" ...
$ Gardening : chr "3" "3" "3" "1" ...
$ WalkingPace : num 1 2 1 1 1 NA 1 2 NA 1 ...
$ Weight : num 53 67 107 83 68 44 NA 41 31 NA ...
$ Height : num 155 175 176 156 170 167 NA 149 152 NA ...
$ Stress : num 1 1 0 1 0 0 1 0 1 1 ...
$ Relationship : chr "2" "2" "2" "2" ...
$ FinacialIssues : chr "2" "2" "2" "2" ...
$ Violence : chr "2" "2" "2" "2" ...
$ SeriousIllness : chr "2" "2" "1" "2" ...
$ Death : chr "2" "2" "2" "2" ...
$ Reason : chr "2" "2" "2" "2" ...
$ Support : chr "2" "2" "1" "2" ...
$ PregnacySupport : num 4 4 5 NA NA 1 NA 3 2 2 ...
$ BirthPreferences : num 1 1 1 1 1 1 1 1 1 1 ...
$ Maternitycare : num 0 0 1 0 0 1 1 0 1 2 ...
$ BabyFeeding : num 0 0 2 0 0 0 0 0 1 2 ...
$ Occupation : num 1 1 1 1 NA 0 NA 1 1 1 ...
$ Education : num 3 2 5 2 NA 0 3 1 2 4 ...
$ Employment : num 1 1 5 5 NA 2 5 5 1 1 ...
$ EmploymentType : num 1 1 NA 0 0 NA 1 0 0 1 ...
$ FamilyMembers : num NA 2 1 NA 3 1 2 2 2 2 ...
$ Income : num 0 0 0 0 0 0 0 0 0 0 ...