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Transform PSCIS Assessment Worksheet Data by Calculating Stream Width Ratio Score

Source: R/fpr_xfm_paw_score_swr.R
fpr_xfm_paw_score_swr.Rd

This function calculates the stream width ratio (SWR) score for BC Provincial Stream Crossing Inventory System (PSCIS) data based on specified thresholds.

Usage

fpr_xfm_paw_score_swr(
  dat,
  col_stream_width_ratio = stream_width_ratio,
  col_stream_width_ratio_score = stream_width_ratio_score,
  risk_low_value = 1,
  risk_high_value = 1.3,
  risk_low_score = 0,
  risk_mod_score = 3,
  risk_high_score = 6
)

Arguments

dat

[dataframe] A dataframe containing the PSCIS data.

col_stream_width_ratio

[character] A column name specifying the stream width ratio, as a string or tidy-select syntax. Default is `stream_width_ratio`.

col_stream_width_ratio_score

[character] A column name for the output SWR score, as a string or tidy-select syntax. Default is `stream_width_ratio_score`.

risk_low_value

[numeric] A numeric value representing the lower threshold for low stream width ratio risk. Default is `1`.

risk_high_value

[numeric] A numeric value representing the threshold for high stream width ratio risk. Default is `1.3`.

risk_low_score

[numeric] A numeric value representing the risk score for low SWR conditions. Default is `0`.

risk_mod_score

[numeric] A numeric value representing the risk score for moderate SWR conditions. Default is `3`.

risk_high_score

[numeric] A numeric value representing the risk score for high SWR conditions. Default is `6`.

Value

[dataframe] A dataframe with the specified column for SWR score added or updated.

See also

Other xfm paw: fpr_xfm_paw_all_scores_result(), fpr_xfm_paw_barrier_result(), fpr_xfm_paw_score_cv_len(), fpr_xfm_paw_score_cv_slope(), fpr_xfm_paw_score_embed(), fpr_xfm_paw_score_final(), fpr_xfm_paw_score_outlet_drop(), fpr_xfm_paw_swr()

Examples

dat <- data.frame(
  stream_width_ratio = c(0.8, 1.2, 1.4, NA)
)
fpr_xfm_paw_score_swr(
  dat
)
#>   stream_width_ratio stream_width_ratio_score
#> 1                0.8                        0
#> 2                1.2                        3
#> 3                1.4                        6
#> 4                 NA                        0