Net Promoter Score (NPS)

rnps() generates n random possible net promoter scores based on a sample of promoter, passive, and detractor responses. qnps() simulates a sample of NPS scores, then produces sample quantiles corresponding to the given probabilities.

Usage

rnps(n, promoters, passives, detractors)

qnps(
  p,
  promoters,
  passives,
  detractors,
  sims = 10000,
  na.rm = FALSE,
  names = FALSE,
  ...
)

Arguments

n

number of observations to generate.

promoters, passives, detractors

counts of promoters, passives, and detractors

p

vector of quantiles.

sims

number of simulated NPS scores to generate and use in the sample quantile calculation.

na.rm

logical; if true, any NA and NaNs are removed before the quantiles are computed.

names

logical; if true, the result has a names attribute. Set to FALSE to speedup with many probs.

...

additional params to pass to stats::quantile()

Examples

# generate 10 nps scores based on a sample of 100 respondents
rnps(10, 70, 20, 10)
#>  [1] 0.6315986 0.5566031 0.5924313 0.6293267 0.6126970 0.6664050 0.5764176
#>  [8] 0.5217812 0.6472890 0.5826048

# estimate the 95% nps quantile range of a sample of 100 respondents
qnps(c(0.025, 0.5, 0.975), 70, 20, 10)
#> [1] 0.4619675 0.6042957 0.7202297