Description Usage Arguments Value Examples
View source: R/rs_singlestage.R
Rat-Stats Style Single Stage Random Numbers
1 2 3 4 5 6 7 8 9 | rs_singlestage(
df = NULL,
seed_number = NA,
audit_review = "",
quantity_to_generate = 0,
quantity_of_spares = 0,
frame_low = 1,
frame_high = 1
)
|
df |
A data frame containing an index or id column sequenced from frame_low to frame_high |
seed_number |
"Do you want to provide seed number?" Provide a seed number. If the default (seed_number = NA) is retained then the seed number will be set to sample(0:1000000, 1) and the result will be returned in the output. |
audit_review |
"Name of the Audit/Review" |
quantity_to_generate |
"Enter the quantity of numbers to be generated in Random Order." |
quantity_of_spares |
"Enter the quantity of Spare numbers to be generated in Random Order:" |
frame_low |
"Enter the sampling frame Low Number: (default = 1)" |
frame_high |
"Enter the sampling frame High Number: (default = 1)" |
A nested list with "output" and "input" lists. The output list contains three data frames: the sample, the sample frame, and the spares. Each data frame includes the random numbers and each has been sorted by random number. The input list returns input parameters and the random number seed.
1 2 3 4 5 6 7 8 9 10 11 12 13 | #Generate sampling frame with an index id from 1 to N (where N is the number
#of observation on the sampling frame)
df_sample_frame <- data.frame("sample_frame_sequence_id" = 1:1000,
"score" = sample(c("A", "B"), size = 1000, replace = TRUE))
#Run rs_singlestage function to obtain output and input lists
rs_singlestage(df = df_sample_frame,
seed_number = 100,
audit_review = "Score Audit",
quantity_to_generate = 20,
quantity_of_spares = 3,
frame_low = 1,
frame_high = 1000)
|
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