Taken from here
Add remonte branch:
git remote add --track master mleung git://github.com/mleung/feather.git
Verify:
git remote
## generates two datasets for illustration | |
I <- 3 # nb tests | |
J <- 4 # nb timepoints | |
dat1 <- data.frame( | |
Test=gl(I,J,labels=LETTERS[1:I]), | |
timepoint=rep(1:J,I) | |
) | |
dat1 <- transform(dat1, y=round(rnorm(I*J,2*timepoint),1)) | |
I <- 5 # nb tests | |
J <- 3 # nb timepoints |
Taken from here
Add remonte branch:
git remote add --track master mleung git://github.com/mleung/feather.git
Verify:
git remote
## The Reviewer | |
I, the reviewer, promise: | |
1. to not hide behind a screen of anonymity | |
2. to be open and honest with you (the authors) at all times | |
3. to be constructive in my criticism | |
4. within the rules given to me by the journal, to assist you in every way I ethically can to get your manuscript published,by providing criticism and praise that is valid and relevant | |
5. It is your paper, not mine. I will not try to turn author’s paper into a paper I would have written. | |
http://stackoverflow.com/questions/24380159/corebluetooth-and-wifi-interference
http://lists.apple.com/archives/bluetooth-dev/2013/Aug/msg00023.html
This is a well known issue, and it has a solution that is confirmed to work for the Mac side.
sudo defaults write /Library/Preferences/com.apple.airport.bt.plist bluetoothCoexMgmt Hybrid
After you run this script, the issue will go away and BT connections will remain stable.
Download_SRP_Runs() { | |
SRP_IDs=`esearch -db sra -query $1 | efetch -format docsum | xtract -pattern DocumentSummary -element Run@acc | tr '\t' '\n'` | |
for r in ${SRP_IDs}; do | |
url="ftp://ftp-trace.ncbi.nih.gov/sra/sra-instant/reads/ByRun/sra/SRR/${r:0:6}/${r}/${r}.sra" | |
wget $url | |
done; | |
} | |
Download_SRP_Runs <SRP ID GOES HERE> |
If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
After your fresh CentOS 7 setup (make sure you install the QEMU/KVM virtualization tools and virt-manager
), install the mainline kernel:
sudo rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org
sudo rpm -Uvh http://www.elrepo.org/elrepo-release-7.0-2.el7.elrepo.noarch.rpm
sudo yum --enablerepo=elrepo-kernel install kernel-ml
sudo yum -y update
# Install Time Machine service on CentOS 7 | |
# http://netatalk.sourceforge.net/wiki/index.php/Netatalk_3.1.7_SRPM_for_Fedora_and_CentOS | |
# http://confoundedtech.blogspot.com/2011/07/draft-draft-ubuntu-as-apple-time.html | |
yum install -y rpm-build gcc make wget | |
# install netatalk | |
yum install -y avahi-devel cracklib-devel dbus-devel dbus-glib-devel libacl-devel libattr-devel libdb-devel libevent-devel libgcrypt-devel krb5-devel mysql-devel openldap-devel openssl-devel pam-devel quota-devel systemtap-sdt-devel tcp_wrappers-devel libtdb-devel tracker-devel | |
yum install -y bison docbook-style-xsl flex dconf |