| mpspline_tidy | R Documentation | 
This function implements the mass-preserving spline method of Bishop et al (1999) (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0016-7061(99)00003-8")}) for interpolating between measured soil attributes down a soil profile, across multiple sites' worth of data. It returns an output object with tidy data formatting.
mpspline_tidy(
  obj = NULL,
  var_name = NULL,
  lam = 0.1,
  d = c(0, 5, 15, 30, 60, 100, 200),
  vlow = 0,
  vhigh = 1000
)
obj | 
 data.frame or matrix. Column 1 must contain site identifiers. Columns 2 and 3 must contain upper and lower sample depths, respectively, and be measured in centimeters. Subsequent columns will contain measured values for those depths.  | 
var_name | 
 length-1 character or length-1 integer denoting the column in
  | 
lam | 
 number; smoothing parameter for spline. Defaults to 0.1.  | 
d | 
 sequential integer vector; denotes the output depth ranges in cm.
Defaults to   | 
vlow | 
 numeric; constrains the minimum predicted value to a realistic number. Defaults to 0.  | 
vhigh | 
 numeric; constrains the maximum predicted value to a realistic number. Defaults to 1000.  | 
A four-item list containing data frames of predicted values over the input depth ranges, the output depth ranges, 1cm-increment predictions, and RMSE and IQR-scaled RMSE values.
dat <- data.frame("SID" = c( 1,  1,  1,  1,   2,   2,   2,   2),
                   "UD" = c( 0, 20, 40, 60,   0,  15,  45,  80),
                   "LD" = c(10, 30, 50, 70,   5,  30,  60, 100),
                  "VAL" = c( 6,  4,  3, 10, 0.1, 0.9, 2.5,   6),
                   stringsAsFactors = FALSE)
mpspline_tidy(obj = dat, var_name = 'VAL')
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