View source: R/textureTriangleSummary.R
textureTriangleSummary | R Documentation |
This function accepts soil texture components (sand, silt, and clay percentages) and plots a soil texture triangle with a "representative value" (point) and low-high region (polygon) defined by quantiles (estimated with Hmisc::hdquantile
). Marginal quantiles of sand, silt, and clay are used to define the boundary of a low-high region. The default settings place the RV symbol at the texture defined by marginal medians of sand, silt, and clay. The default low-high region is defined by the 5th and 95th marginal percentiles of sand, silt, and clay.
textureTriangleSummary(
ssc,
p = c(0.05, 0.5, 0.95),
delta = 1,
rv.col = "red",
range.border = "black",
range.col = "RoyalBlue",
range.alpha = 80,
range.lty = 1,
range.lwd = 2,
main = "Soil Textures",
legend.cex = 0.75,
legend = TRUE,
...
)
ssc |
|
p |
vector of percentiles (length = 3) defining 'low', 'representative value', and 'high' |
delta |
grid size used to form low-high region |
rv.col |
color used for representative value (RV) symbol |
range.border |
color used for polygon border enclosing the low-high region |
range.col |
color used for polygon enclosing the low-high region |
range.alpha |
transparency of the low-high range polygon (0-255) |
range.lty |
line style for polygon enclosing the low-high region |
range.lwd |
line weight polygon enclosing the low-high region |
main |
plot title |
legend.cex |
scaling factor for legend |
legend |
logical, enable/disable automatic legend |
... |
further arguments passed to |
an invisible matrix
with marginal percentiles of sand, silt, and clay
D.E. Beaudette, J. Nemecek, K. Godsey
bootstrapSoilTexture
if(
requireNamespace("Hmisc") &
requireNamespace("compositions") &
requireNamespace("soiltexture")
) {
# sample data
data('sp4')
# subset rows / columns
ssc <- sp4[grep('^Bt', sp4$name), c('sand', 'silt', 'clay')]
names(ssc) <- toupper(names(ssc))
# make figure, marginal percentiles are silently returned
stats <- textureTriangleSummary(
ssc, pch = 1, cex = 0.5,
range.alpha = 50,
range.lwd = 1,
col = grey(0.5),
legend = FALSE
)
# check
stats
# simulate some data and try again
s <- bootstrapSoilTexture(ssc, n = 100)$samples
# make the figure, ignore results
textureTriangleSummary(
s, pch = 1, cex = 0.5,
range.alpha = 50,
range.lwd = 1,
col = grey(0.5),
legend = FALSE
)
}
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