format_corrector: Identify and corrects variable formats

Description

The function creates a loop to compare for each variable the values it have with the usual ones that typical R formats have in order to correct, for example, missing value or dates stored as a character. It also specify for each variable the most appropriate SPSS format that it should have.

Usage

format_corrector(table,identif=NULL,force=FALSE,rate.miss.date=0.5)

Arguments

table

The data set we want to correct.

identif

The name of the identification variable included in the data frame. It will be used to list the individuals who had any problems during the execution of the function.

force

If TRUE, run format_corrector even if "fixed.formats" attribute is TRUE

rate.miss.date

The maximum rate of missing date fields we want the function to accept.The function details which fields have been lost anyways.

Value

A single data frame which results from the function.

Details

If the date variable don't have chron format it must be in one of the following formats, else the function leaves it as a character: ----dates separator must be one of the following:("-","/","."). ----hour separator must be ":".

Examples

Run this code

# NOT RUN {
require(ImportExport)
a<-c(1,NA,3,5,".")
b<-c("19/11/2006","05/10/2011","09/02/1906","22/01/1956","10/10/2010")
c<-101:105
x<-data.frame(a,b,c)
sapply(x,class)
x_corr<-format_corrector(x)
sapply(x_corr,class)

# }