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Reset a dataframe to best predict variable classes

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1

I have a dataframe which is a mix of; strings, factors, and numerical class variables. I need all the strings to be congruent so I uppercase the dataframe.

# Create dataframe
df <- data.frame(String=c("string", "String", "STRING"), Numeric=c(2,3,5), Factor=c("A","B","C"))
df$String <- as.character(df$String)
df$Numeric <- as.numeric(df$Numeric)
df$Factor <- as.factor(df$Factor)


# Uppercase dataframe
df <- mutate_all(df, funs(toupper))

This has now made every column a character class. I can now do a write.csv then a read.csv to set all the numeric variables back into their correct class (then I manually assign which variables are factors and which are strings if an error was made). Is there a way to reset a dataframe to it's best guess for variable classes without doing a write.csv to read.csv

r

share|improve this question

asked Mar 7 at 23:45

BradBrad

466

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  It might be better to only modify the character columns in the first place with df %>% mutate_if(is.character, toupper)
  
  – Marius
  Mar 7 at 23:49
  

  
  
  
  

add a comment | 

1

I have a dataframe which is a mix of; strings, factors, and numerical class variables. I need all the strings to be congruent so I uppercase the dataframe.

# Create dataframe
df <- data.frame(String=c("string", "String", "STRING"), Numeric=c(2,3,5), Factor=c("A","B","C"))
df$String <- as.character(df$String)
df$Numeric <- as.numeric(df$Numeric)
df$Factor <- as.factor(df$Factor)


# Uppercase dataframe
df <- mutate_all(df, funs(toupper))

This has now made every column a character class. I can now do a write.csv then a read.csv to set all the numeric variables back into their correct class (then I manually assign which variables are factors and which are strings if an error was made). Is there a way to reset a dataframe to it's best guess for variable classes without doing a write.csv to read.csv

r

share|improve this question

asked Mar 7 at 23:45

BradBrad

466

• 
  
  
  

  
  1
  

  
  
  
  
  
  

  
  
  It might be better to only modify the character columns in the first place with df %>% mutate_if(is.character, toupper)
  
  – Marius
  Mar 7 at 23:49
  

  
  
  
  

add a comment | 

I have a dataframe which is a mix of; strings, factors, and numerical class variables. I need all the strings to be congruent so I uppercase the dataframe.

# Create dataframe
df <- data.frame(String=c("string", "String", "STRING"), Numeric=c(2,3,5), Factor=c("A","B","C"))
df$String <- as.character(df$String)
df$Numeric <- as.numeric(df$Numeric)
df$Factor <- as.factor(df$Factor)


# Uppercase dataframe
df <- mutate_all(df, funs(toupper))

This has now made every column a character class. I can now do a write.csv then a read.csv to set all the numeric variables back into their correct class (then I manually assign which variables are factors and which are strings if an error was made). Is there a way to reset a dataframe to it's best guess for variable classes without doing a write.csv to read.csv

r

share|improve this question

asked Mar 7 at 23:45

BradBrad

466

# Create dataframe
df <- data.frame(String=c("string", "String", "STRING"), Numeric=c(2,3,5), Factor=c("A","B","C"))
df$String <- as.character(df$String)
df$Numeric <- as.numeric(df$Numeric)
df$Factor <- as.factor(df$Factor)


# Uppercase dataframe
df <- mutate_all(df, funs(toupper))

share|improve this question

asked Mar 7 at 23:45

BradBrad

466

share|improve this question

asked Mar 7 at 23:45

BradBrad

466

asked Mar 7 at 23:45

BradBrad

466

asked Mar 7 at 23:45

BradBrad

466