Simulating data using fakeR in R











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I have a data frame named "data" with 74 variables/columns and 1751 observations/rows. I am attempting to use the fakeR library to simulate 1000 rows of fake data based on this existing data frame I have.



I have tried using



simulated_data <- simulate_dataset(data);


but keep getting
Error in table...attempt to make a table with >=2^31 elements



I have also tried to manually enter each variable into a data frame (suggested previously on a question from some other issue) but have gotten the same error. Like so,



df <- data.frame(data);
df$VARIABLE_NAME <- as.character(data$VARIABLE_NAME);


I'm really new to R and am struggling immensley. I could really use and appreciate any help. Thanks so much!










share|improve this question






















  • Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
    – 12b345b6b78
    Nov 10 at 21:46












  • What classes are your df and columns?
    – iod
    Nov 10 at 23:05










  • @12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
    – XGingerDictator
    Nov 12 at 1:07










  • @iod I'm not sure I understand what you mean
    – XGingerDictator
    Nov 12 at 1:07










  • Can you provide the str() for your df?
    – iod
    Nov 12 at 1:16















up vote
0
down vote

favorite












I have a data frame named "data" with 74 variables/columns and 1751 observations/rows. I am attempting to use the fakeR library to simulate 1000 rows of fake data based on this existing data frame I have.



I have tried using



simulated_data <- simulate_dataset(data);


but keep getting
Error in table...attempt to make a table with >=2^31 elements



I have also tried to manually enter each variable into a data frame (suggested previously on a question from some other issue) but have gotten the same error. Like so,



df <- data.frame(data);
df$VARIABLE_NAME <- as.character(data$VARIABLE_NAME);


I'm really new to R and am struggling immensley. I could really use and appreciate any help. Thanks so much!










share|improve this question






















  • Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
    – 12b345b6b78
    Nov 10 at 21:46












  • What classes are your df and columns?
    – iod
    Nov 10 at 23:05










  • @12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
    – XGingerDictator
    Nov 12 at 1:07










  • @iod I'm not sure I understand what you mean
    – XGingerDictator
    Nov 12 at 1:07










  • Can you provide the str() for your df?
    – iod
    Nov 12 at 1:16













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I have a data frame named "data" with 74 variables/columns and 1751 observations/rows. I am attempting to use the fakeR library to simulate 1000 rows of fake data based on this existing data frame I have.



I have tried using



simulated_data <- simulate_dataset(data);


but keep getting
Error in table...attempt to make a table with >=2^31 elements



I have also tried to manually enter each variable into a data frame (suggested previously on a question from some other issue) but have gotten the same error. Like so,



df <- data.frame(data);
df$VARIABLE_NAME <- as.character(data$VARIABLE_NAME);


I'm really new to R and am struggling immensley. I could really use and appreciate any help. Thanks so much!










share|improve this question













I have a data frame named "data" with 74 variables/columns and 1751 observations/rows. I am attempting to use the fakeR library to simulate 1000 rows of fake data based on this existing data frame I have.



I have tried using



simulated_data <- simulate_dataset(data);


but keep getting
Error in table...attempt to make a table with >=2^31 elements



I have also tried to manually enter each variable into a data frame (suggested previously on a question from some other issue) but have gotten the same error. Like so,



df <- data.frame(data);
df$VARIABLE_NAME <- as.character(data$VARIABLE_NAME);


I'm really new to R and am struggling immensley. I could really use and appreciate any help. Thanks so much!







r faker






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 10 at 21:40









XGingerDictator

1




1












  • Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
    – 12b345b6b78
    Nov 10 at 21:46












  • What classes are your df and columns?
    – iod
    Nov 10 at 23:05










  • @12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
    – XGingerDictator
    Nov 12 at 1:07










  • @iod I'm not sure I understand what you mean
    – XGingerDictator
    Nov 12 at 1:07










  • Can you provide the str() for your df?
    – iod
    Nov 12 at 1:16


















  • Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
    – 12b345b6b78
    Nov 10 at 21:46












  • What classes are your df and columns?
    – iod
    Nov 10 at 23:05










  • @12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
    – XGingerDictator
    Nov 12 at 1:07










  • @iod I'm not sure I understand what you mean
    – XGingerDictator
    Nov 12 at 1:07










  • Can you provide the str() for your df?
    – iod
    Nov 12 at 1:16
















Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
– 12b345b6b78
Nov 10 at 21:46






Perhaps this sort of task could just as easily be accomplished using the standard R library? x <- matrix(rnorm(74 * 1751, 100, 50), 74, 1751) will give you a matrix x that has the dimensions you specified, and the values are just random draws from the normal distribution with mean = 100 and sd = 50. You can always convert it to a dataframe by passing it to as.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectors letters and LETTERS
– 12b345b6b78
Nov 10 at 21:46














What classes are your df and columns?
– iod
Nov 10 at 23:05




What classes are your df and columns?
– iod
Nov 10 at 23:05












@12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
– XGingerDictator
Nov 12 at 1:07




@12b345b6b78 how could I get it to create random data based on data i already have? I am fetching a table in from SQL
– XGingerDictator
Nov 12 at 1:07












@iod I'm not sure I understand what you mean
– XGingerDictator
Nov 12 at 1:07




@iod I'm not sure I understand what you mean
– XGingerDictator
Nov 12 at 1:07












Can you provide the str() for your df?
– iod
Nov 12 at 1:16




Can you provide the str() for your df?
– iod
Nov 12 at 1:16

















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