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## Corey Chivers, 2012 ## | |
sim_bayes<-function(p=0.5,N=100,y_lim=20,a_a=2,a_b=10,b_a=8,b_b=3) | |
{ | |
## Simulate outcomes in advance | |
outcomes<-sample(1:0,N,prob=c(p,1-p),replace=TRUE) | |
success<-cumsum(outcomes) | |
for(frame in 1:N) | |
{ | |
png(paste("plots/",1000+frame,".png",sep="")) |
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#http://samtools.sourceforge.net/mpileup.shtml | |
SAMDIR=/usr/local/package/samtools-0.1.18 | |
SAMTOOLS=$(SAMDIR)/samtools | |
BCFTOOLS=$(SAMDIR)/bcftools/bcftools | |
BWA=/usr/local/package/bwa-0.6.1/bwa | |
REF=chr22.fa | |
.INTERMEDIATE : align.sam random_1.sai random_2.sai align.bam variations.bcf |
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# genomes - Genome sequencing project metadata | |
# URL : http://www.bioconductor.org/packages/release/bioc/html/genomes.html | |
library(genomes) | |
ncbiTaxonomy("human", summary=TRUE) | |
################################# | |
# [1] "1 result found" | |
# taxid name rank division nucl prot struct genome gene | |
# 1 9606 Homo sapiens species primates 9936177 677498 20041 51 43470 |
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fh293@newt:~$ sudo -u postgres psql | |
psql (9.1.6) | |
Type "help" for help. | |
postgres=# update pg_database set datallowconn = TRUE where datname = 'template0'; | |
UPDATE 1 | |
postgres=# \c template0 | |
You are now connected to database "template0" as user "postgres". | |
template0=# update pg_database set datistemplate = FALSE where datname = 'template1'; | |
UPDATE 1 |
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# Generate a Monte Carlo sample using Sobol' low-discrepancy quasi-random sequences | |
# James Keirstead | |
# 3 February 2012 | |
# | |
# Random sampling with R's standard methods is inefficient for Monte Carlo analysis as | |
# the sampled values do not cover the parameter space evenly. This Gist allows users | |
# to create parameter samples using Sobol' sequences to get around this problem. | |
# makeMCSample | |
# Makes a Monte Carlo sample using Sobol' sequences |
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 41 columns, instead of 39. in line 2.
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"","X","Lake.ID","Name","treatment","shorline","sizehectars","elevation","UTM.zone","northing","easting","BUBO.breeding","BUBO.breeding2","PSRE.breeding.Y.N","RACA.y.n","veg.extent","X..of.transects.with.veg","bank.slope","silt.0.1.","silt.total","X10cm.area","vegetated.area","RACA.1K","lakes.1k","dist.ave","ls","raca.basin","fish.basin","lakes.basin","co.lakes.basin","ls2","woody","herbacious","unveg","total","woodyprop","herbprop","unvegprop","logveg","archerb","arcsilt" | |
"1",1,531,"Mill Creek",0,377.96,0.713,2008.9368,10,518882,4565085,"y",1,"n","y",0.691,0.682,0.308095216,0.6818,0.71212,111.5,261.17,3,4,0.5538,0.75,3,0,3,0,1,6082255.229,54367.17182,1399749.194,7536371.595,0.807053521,0.007213972,0.185732508,2.41692328905509,0.0850375574910141,1.00445938904933 | |
"2",2,533,"East Boulder",1,1356.4,11.4,2034.8448,10,518069,4564441,"y",1,"y","y",2.28,0.292,0.092475736,0.376,0.3472,980.56,3092.59,5,10,0.8268,0.5,4,4,8,2,0.5,5699686.549,1302747.189,1470012.242,8472445.979,0.67273212,0.15376282,0.173505059,3.4903223 |
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## Simulate Grime Dice ## | |
red<-c(4,4,4,4,4,9) | |
blue<-c(2,2,2,7,7,7) | |
olive<-c(0,5,5,5,5,5) | |
yellow<-c(3,3,3,3,8,8) | |
magenta<-c(1,1,6,6,6,6) | |
## Play n match-ups between d1 and d2 |
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#initialize | |
library(datasets) | |
library(ggplot2) | |
#helper function (convert vector to named list) | |
namel<-function (vec){ | |
tmp<-as.list(vec) | |
names(tmp)<-as.character(unlist(vec)) | |
tmp | |
} |
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[[PageOutline]] | |
The following items should be tested before each release. Be sure to vary the following: | |
* super | regular user | |
* logged in | out | |
* Firefox, IE 7/9, Chrome, Safari | |
* new | old user | |
= ACCOUNT = |
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#!/bin/bash | |
PREFIX=$(dirname $0) | |
java -Xmx500m -jar $PREFIX/GenomeAnalysisTK.jar $* |
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