search for: cornershop

...ase help me combine the simulated data to a form of table where: Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35 rows.   Hypermarket <- rnorm(10, mean=20000, sd=7000) Supermarket <- rnorm(15, mean=12000, sd=4000) Minimarket   <- rnorm(20, mean=10000, sd=4000) Cornershop  <- rnorm(20, mean= 8000, sd=3000) Spazashop   <- rnorm(35, mean= 7000, sd=3000)   i am trying to write a code to simulate data such that i have 10% of hypermarkets, 15% of supermarkets,etc. [[alternative HTML version deleted]]

...elpers   A curious question: Can you make suggestions  as to  what to use in R for the data from a sample of the following:   Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000)) Supermarket <- matrix(rnorm(400, mean=34000, sd=3000)) Minimarket  <- matrix(rnorm(1000, mean=10000,sd=2000)) Cornershop  <- matrix(rnorm(1500, mean=2500, sd=500)) Spazashop   <- matrix(rnorm(2000, mean=1000, sd=250)) dat=data.frame(type=c(rep("Hypermarket",100), rep("Supermarket",400), rep("Minimarket",1000),rep("Cornershop",1500), rep("Spazashop",2000)), value...

...ase help me combine the simulated data to a form of table where: Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35 rows.   Hypermarket <- rnorm(10, mean=20000, sd=7000) Supermarket <- rnorm(15, mean=12000, sd=4000) Minimarket   <- rnorm(20, mean=10000, sd=4000) Cornershop  <- rnorm(20, mean= 8000, sd=3000) Spazashop   <- rnorm(35, mean= 7000, sd=3000)   i am trying to write a code to simulate data such that i have 10% of hypermarkets, 15% of supermarkets,etc.           [[alternative HTML version deleted]] -----Inline Attachment Follows----- __________...

Dear Helpers   I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.   H <- matrix(rnorm(100, mean=50000, sd=5000)) sampleframe=data.frame(type=c(rep("H",100)),value=c(H)) sampleframe   str=strata(sampleframe,c("type"),size=c(20,), method="srswor")

...stribution also. Lastly i will try to sample from this data. Please help and make suggestions.   My codes #code for dataframe Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000)) Supermarket <- matrix(rnorm(400, mean=34000, sd=3000)) Minimarket  <- matrix(rnorm(1000, mean=10000,sd=2000)) Cornershop  <- matrix(rnorm(1500, mean=2500, sd=500)) Spazashop   <- matrix(rnorm(2000, mean=1000, sd=250)) dat=data.frame(type=c(rep("Hypermarket",100), rep("Supermarket",400), rep("Minimarket",1000),rep("Cornershop",1500), rep("Spazashop",2000)), value...

...lso. Lastly i will try to sample from this data. Please help and make suggestions.   #My  original codes #code for dataframe Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000)) Supermarket <- matrix(rnorm(400, mean=34000, sd=3000)) Minimarket  <- matrix(rnorm(1000, mean=10000,sd=2000)) Cornershop  <- matrix(rnorm(1500, mean=2500, sd=500)) Spazashop   <- matrix(rnorm(2000, mean=1000, sd=250)) dat=data.frame(type=c(rep("Hypermarket",100), rep("Supermarket",400), rep("Minimarket",1000),rep("Cornershop",1500), rep("Spazashop",2000)), value...

...lso. Lastly i will try to sample from this data. Please help and make suggestions.   #My  original codes #code for dataframe Hypermarket <- matrix(rnorm(100, mean=50000, sd=5000)) Supermarket <- matrix(rnorm(400, mean=34000, sd=3000)) Minimarket  <- matrix(rnorm(1000, mean=10000,sd=2000)) Cornershop  <- matrix(rnorm(1500, mean=2500, sd=500)) Spazashop   <- matrix(rnorm(2000, mean=1000, sd=250)) dat=data.frame(type=c(rep("Hypermarket",100), rep("Supermarket",400), rep("Minimarket",1000),rep("Cornershop",1500), rep("Spazashop",2000)), value...