Displaying 5 results from an estimated 5 matches for "x_range".
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d_range
2014 Mar 06
0
[PATCH] nv50, nvc0: adjust blit_3d handling of ms output textures
...v50_surface.c
index dc6d628..6073deb 100644
--- a/src/gallium/drivers/nouveau/nv50/nv50_surface.c
+++ b/src/gallium/drivers/nouveau/nv50/nv50_surface.c
@@ -977,6 +977,7 @@ nv50_blit_3d(struct nv50_context *nv50, const struct pipe_blit_info *info)
float x0, x1, y0, y1, z;
float dz;
float x_range, y_range;
+ float x_output, y_output;
blit->mode = nv50_blit_select_mode(info);
blit->color_mask = nv50_blit_derive_color_mask(info);
@@ -996,11 +997,14 @@ nv50_blit_3d(struct nv50_context *nv50, const struct pipe_blit_info *info)
x_range = (float)info->src.box.width / (flo...
2011 Jun 30
2
volcano plot.r
...vals<-matrix(nrow=ncol(data[,-1]),ncol=1,dimnames=list(colnames(data[-1]),"P-Value"))
#
# Perform the t-Test
#
for(ii in 1:nrow(pvals)) {
pvals[ii,1]<-t.test(new_mats[[1]][,ii+1],new_mats[[2]][,ii+1])$p.value
}
m<-length(pvals)
x_range<-range(c(
min(
range(log2(folds[2,])),
range(c(-1.5,1.5))
),
max(
range(log2(folds[2,])),
range(c(-1.5,1.5))
)
))
y_range<-range(c(
min(range(-log10(pvals)),
range(c(0,2))
...
2011 Jun 20
2
(no subject)
...als<-matrix(nrow=ncol(data[,-1]),ncol=1,dimnames=list(colnames(data[-1]),"P-Value"))
#
# Perform the t-Test
#
for(ii in 1:nrow(pvals)) {
pvals[ii,1]<-t.test(new_mats[[1]][,ii+1],new_mats[[2]][,ii+1])$p.value
}
m<-length(pvals)
x_range<-range(c(
min(
range(log2(folds[2,])),
range(c(-1.5,1.5))
),
max(
range(log2(folds[2,])),
range(c(-1.5,1.5))
)
))
y_range<-range(c(
min(range(-log10(pvals)),
range(c(0,2))...
2010 Sep 23
3
accumulation curves
Hi,
I am trying to fit a logarithmic trendline to a scatterplot of a
species accumulation curve. I've tried abline, lines, curve and
scatter.smooth but none of these work.
Can anyone help please,
Kyran
2011 Jun 30
0
help with interpreting what nnet() output gives:
...vals<-matrix(nrow=ncol(data[,-1]),ncol=1,dimnames=list(colnames(data[-1]),"P-Value"))
? ??
? ? #
? ? # ? ?Perform the t-Test
? ? #
? ? for(ii in 1:nrow(pvals)) {
? ? ? ? pvals[ii,1]<-t.test(new_mats[[1]][,ii+1],new_mats[[2]][,ii+1])$p.value
? ? ? ? }
? ??
? ? m<-length(pvals)
? ? x_range<-range(c(
? ? ? ? min(
? ? ? ? ? ? range(log2(folds[2,])),
? ? ? ? ? ? range(c(-1.5,1.5))
? ? ? ? ? ? ),
? ? ? ? max(
? ? ? ? ? ? range(log2(folds[2,])),
? ? ? ? ? ? range(c(-1.5,1.5))
? ? ? ? ? ? )
? ? ? ? ))
? ? y_range<-range(c(
? ? ? ? min(range(-log10(pvals)),
? ? ? ? ? ? range(c(0,2))
?...