Displaying 4 results from an estimated 4 matches for "labpos".
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2018 May 11
0
Bug in plot.lm function (stats package): positioning of labels for extreme points.
...ible patch:
====================================
The fix is hard to explain, because changes are required in many places.
On line 85 (or thereabouts) of the plot.lm function, there is a function called text.id
which does the labelling:
text.id <- function(x, y, ind, adj.x = TRUE) {
labpos <- if (adj.x)
label.pos[1 + as.numeric(x > mean(range(x)))]
else 3
text(x, y, labels.id[ind], cex = cex.id, xpd = TRUE,
pos = labpos, offset = 0.25)
}
This text.id function is called for plots corresponding to which==1 (lines 12...
2009 Dec 13
0
cross validation/GAM/package Daim
...I found the package Daim with function Daim for estimation of prediction error based on cross-validation (CV) or various bootstrap techniques.
But I am not able to run it properly. I tried the following 3 versions:
1.
accurancy <- Daim (vegetation ~ s(slope), model=gam1, data=aufnahmen_0708, labpos="alpine mats") --> error: could not find function "model"
2.
accurancy <- Daim (vegetation ~ s(slope), model=gam, data=aufnahmen_0708, labpos="alpine mats") --> error in model(formula, train, test) : `family' not recognized
3. accurancy <- Daim (veget...
2009 Jul 13
0
95% Confidence Intervals for AUC - $auc.samples from the Daim Package
...ry(Daim)
mylda <- function(formula,train,test){
model <- lda(formula,train)
predict(model,test)$posterior[,"pos"]
}
x<-Daim(OUTBREAK2 ~ COHESION.2 + COHESION.23 + ED.2 + PLAND.12 +
PLAND.2 + PLAND.25 + PLAND.26 + ALTITUDE_MEAN + SLOPE_MEAN + LSI,
model=mylda,data=landscape,labpos=1,
control=Daim.control(method="boot",number=10000),returnSample=TRUE,
cutoff=0.71)
auc(x)
summary(x)
[[alternative HTML version deleted]]
2005 Apr 23
3
Enhanced version of plot.lm()
...labels.id <- paste(1:n)
iid <- 1:id.n
show.r <- sort.list(abs(r), decreasing = TRUE)[iid]
if (any(show[2:3]))
show.rs <- sort.list(abs(rs), decreasing = TRUE)[iid]
text.id <- function(x, y, ind, adj.x = FALSE){
midx <- mean(range(x))
labpos <- if (!adj.x) 3
else
label.pos[1+as.numeric(x>midx)]
text(x, y, labels.id[ind], cex = cex.id, xpd = TRUE, pos=labpos,
offset=0.25)
}
}
one.fig <- prod(par("mfcol")) == 1
if (ask) {
op <- par(ask = TRUE)
on.exit(par(op...