search for: cluster4

Displaying 12 results from an estimated 12 matches for "cluster4".

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2018 Jan 14
2
consolidate three function into one
...;Cluster2", "Cluster3") } else {palette <- c("red", "black","green", "blue") legend.labs <- c("Cluster1", "Cluster2", "Cluster3", "Cluster4") } ggsurvplot(cluster, data = inputfile, risk.table = F, palette = palette, ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival (Days)", main = "Survival curve",pval = TRUE,font.x = 16,font.y = 16...
2018 Jan 15
2
consolidate three function into one
...abs <- c("Cluster1", "Cluster2", "Cluster3") } else {palette <- c("red", "black","green", "blue") legend.labs <- c("Cluster1", "Cluster2", "Cluster3", "Cluster4") } fig <-ggsurvplot(cluster, data = inputfile, risk.table = F, palette = palette, ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival (Days)", main = "Survival curve",pval = TRUE,font.x = 16,font.y = 16,...
2009 Feb 01
2
Using arrays to generate parameters
..."hostname": "a" "name": "a" "domain": "b.com" "fqdn": "a.b.com" "group": "<host group>" "clusters": ["cluster1", "cluster2", "cluster3", "cluster4"] In my puppet manifests, I would like to be able to use the elements in the clusters array to generate multiple files to use for the source parameter of the file type. For example, given the above YML, I''d like the end result of the file parameter to behave like this: file { "...
2018 Jan 14
0
consolidate three function into one
...uot;Cluster3") > } > > else {palette <- c("red", "black","green", "blue") > legend.labs <- c("Cluster1", "Cluster2", "Cluster3", "Cluster4") > } > > ggsurvplot(cluster, data = inputfile, risk.table = F, > palette = palette, > ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival (Days)", > main = "Survival curve",pval =...
2018 Jan 15
0
consolidate three function into one
...ot;Cluster1", "Cluster2", "Cluster3") > } > else {palette <- c("red", "black","green", "blue") > legend.labs <- c("Cluster1", "Cluster2", "Cluster3", "Cluster4") > } > > > fig <-ggsurvplot(cluster, data = inputfile, risk.table = F, > palette = palette, > ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival > (Days)", > main = "Survival curve",pva...
2018 Jan 15
1
consolidate three function into one
...abs <- c("Cluster1", "Cluster2", "Cluster3") } else {palette <- c("red", "black","green", "blue") legend.labs <- c("Cluster1", "Cluster2", "Cluster3", "Cluster4") } fig <-ggsurvplot(cluster, data = inputfile, risk.table = F, palette = palette, ylim=c(0,1),ggtheme = theme_bw(),xlab="Relapse Free Suvival (Days)", main = "Survival curve",pval = TRUE,font.x = 16,font.y = 16,...
2008 Jul 07
2
Colour clusters in a 2d plot
R experts, I have three columns. c1 and c2 are numeric variables whereas c3 are the clusters classes (nominal variable, 10 different: cluster1, cluster2, cluster3, cluster4, cluster5 ....). I'd like to plot c1 against c2 (easy!) in a 2D plot and put different color depending to the cluster class automatically regardless the number of clusters. Could anyone give a hand? Josep Maria, matrix <- read.table(fileName, header=TRUE, sep=",") c1<-matrix...
2018 Jan 14
0
consolidate three function into one
...d =c(14,"plain","black"), legend = "bottom", legend.title = "Tree Cluster", legend.labs = c("Cluster1", "Cluster2", "Cluster3"), lty=1, lwd=3) } RFS4cluster <- function( inputfile ) { cluster4<- survfit(Surv(RFS_days, OV_Had_a_Recurrence_CODE) ~ clusters, data = inputfile) ggsurvplot(cluster4, data = inputfile, risk.table = F, palette = c("red", "black", "green", "blue"), ylim=c(0,1),...
2018 Jan 14
0
consolidate three function into one
...nd =c(14,"plain","black"), legend = "bottom", legend.title = "Tree Cluster", legend.labs = c("Cluster1", "Cluster2", "Cluster3"), lty=1, lwd=3) } RFS4cluster <- function( inputfile ) { cluster4<- survfit(Surv(RFS_days, OV_Had_a_Recurrence_CODE) ~ clusters, data = inputfile) ggsurvplot(cluster4, data = inputfile, risk.table = F, palette = c("red", "black", "green", "blue"), ylim=c(0,1),...
2012 Jul 20
2
[LLVMdev] Statistics for 'switch' instruction.
...s in application is 1.07. Average number of cases is 6.4. How I calculated comparisons-may-be-reduced number. In spreadsheet file GE3 means cluster with size (H-L+1) greater or equal 3. Based on number of clusters GE3, GE4, GE8, I calculated number of clusters with -- size >= 4 and < 8: CLUSTER4_7 = GE4-GE8. -- size == 3: CLUSTER3 = GE3-GE4 -- size == 2: CLUSTER2 = AllClusters-GE3 Based on assumption that CLUSTER3 allows to reduce 1 comparison, CLUSTER4 allows to reduce 2 comparisons and so on, I calculate lower bound of number of comparisons possible to reduce: CR = CLUSTER_GE8*6...
2012 Jul 20
0
[LLVMdev] Statistics for 'switch' instruction.
...number of cases is 6.4. > > How I calculated comparisons-may-be-reduced number. > > In spreadsheet file GE3 means cluster with size (H-L+1) greater or equal 3. > Based on number of clusters GE3, GE4, GE8, I calculated number of > clusters with > -- size >= 4 and < 8: CLUSTER4_7 = GE4-GE8. > -- size == 3: CLUSTER3 = GE3-GE4 > -- size == 2: CLUSTER2 = AllClusters-GE3 > Based on assumption that CLUSTER3 allows to reduce 1 comparison, > CLUSTER4 allows to reduce 2 comparisons and so on, I calculate lower > bound of number of comparisons possible to re...
2006 Dec 01
3
"All resource specifications require names": wot?
Hi, everyone -- I downloaded puppet and have been playing with it. I''m using the RPM''s for RHE4 created by David (mentioned on the install page: http://people.redhat.com/dlutter/yum/rhel4/) with RHE''s ruby 1.8.1-7: ruby-1.8.1-7.EL4.8 ruby-libs-1.8.1-7.EL4.8 ruby-devel-1.8.1-7.EL4.8 I''m sure this is an easy one; all the same, I''m stumped. Please