Simulating data using fakeR in R
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
asked Nov 10 at 21:40
XGingerDictator
1
 |Â
show 7 more comments
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
asked Nov 10 at 21:40
XGingerDictator
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 matrixxthat 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 toas.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectorslettersandLETTERS
– 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
 |Â
show 7 more comments
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
asked Nov 10 at 21:40
XGingerDictator
1
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
r faker
asked Nov 10 at 21:40
XGingerDictator
1
asked Nov 10 at 21:40
XGingerDictator
1
asked Nov 10 at 21:40
XGingerDictator
1
asked Nov 10 at 21:40
XGingerDictator
1
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 matrixxthat 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 toas.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectorslettersandLETTERS
– 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
 |Â
show 7 more comments
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 matrixxthat 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 toas.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectorslettersandLETTERS
– 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
 |Â
show 7 more comments
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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 matrixxthat 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 toas.data.frame(). If you need fake string values, one easy way is to use all sorts of permutations of the built-in letter vectorslettersandLETTERS– 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