bold code
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\(C = \alpha + \beta Y^{\gamma} + \epsilon\)
\$`x/x={(1,if x!=0),(text{undefined},if x=0):}`\$
| # dumpy data | |
| MRSfake <- | |
| data.frame(age=c(10,20,30), | |
| roi=c('a','b','c'), | |
| m1=c(1,2,3), | |
| m2=c(4,5,NA)) | |
| # initial | |
| MRS_age_effect <- function(region, metabolite) { | |
| temp <- filter(MRS, roi == region) |
| [2019-03-19 18:27:45.593426] INFO: Algorithm: livetrader start running with backend = alpaca data-frequency = minute | |
| have Portfolio({ | |
| 'capital_used': 0.0, | |
| 'starting_cash': 0.0, | |
| 'portfolio_value': 22924.4, | |
| 'pnl': 0.0, | |
| 'returns': 0.0, | |
| 'cash': 87439.91, | |
| 'positions': { | |
| Asset(03fb07bb-5db1-4077-8dea-5d711b272625, symbol=AMD, asset_name=AMD, exchange=NASDAQ): Position({ |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| # ###### | |
| # sample short code -- test features | |
| # USAGE: | |
| # pipenv run pylivetrader run -f AlpacaShortTest.py --backend-config config.yaml | |
| # ###### | |
| import pylivetrader.backend.alpaca |
| #!/usr/bin/env R | |
| library(curl) | |
| library(dplyr) | |
| library(tidyr) | |
| library(ggplot2) | |
| library(cowplot) | |
| library(gridExtra) | |
| # get data | |
| url <- 'https://docs.google.com/spreadsheets/d/e/2PACX-1vR0TLhKqeEWZsJqbIuZ38bLc3vVeUpPx9rYnS1QG9kp4Wgv9rvCRHplf1fDy4rFbmC1CAQoVLVW3NX7/pub?output=tsv' | |
| req <- curl_fetch_memory(url) |
| #!/usr/bin/env bash | |
| # where to transfer folders | |
| locOnGinger=/path/to/new/Siegle/ | |
| # make sure we can save logs | |
| [ ! -d rsynclog] && mkdir rsynclog | |
| # get dirs to tx from google doc, only grab those less than 300Gb | |
| curl 'https://docs.google.com/spreadsheets/d/1wfXnWH7zI6H79u6o3fYV59iPBhG-JyaGhys7O9zmDCE/pub?output=tsv'| |
| library(dplyr) | |
| #options(stringsAsFactors = F) | |
| #z1=read.delim(file='/Users/jalbrzikowskime/gordon_ci.txt',header=F) | |
| #z2=read.delim(file='/Users/jalbrzikowskime/infomap_luna_denoise_t9.txt',header=F) | |
| # fake data | |
| d<-data.frame( | |
| id=c(1,2,3,4,5,6,7,8,9,10), | |
| z1=c(1,1,1,3,3,3,3,2,2,1), |
| labelHeat <- function(rsvars,dsivars,Title,tifname) { | |
| # rsvars="Ramyg_cm2_16" | |
| #dsivars="Ramyg_cm2_16_final_qa0" | |
| #location of completed analyses | |
| rootpath <- "/Users/mariaj/Dropbox/Pitt/Luna/amyg_con/01_data/Z_scores_4_Fig3" | |
| #where I want to put my images | |
| imgpath <- "/Users/mariaj/Dropbox/Pitt/Luna/amyg_con/01_data/Z_scores_4_Fig3" | |
| #make plot in variable that show the age effects identified in spline analyses |
| library(ggplot2) | |
| library(dplyr) | |
| library(tidyr) | |
| ##DATA | |
| WM <- structure(list(ID = structure(1:32, .Label = c("10843_20151015", | |
| "11228_20150309", "11339_20141104", "11340_20141031", "11341_20141118", | |
| "11348_20141119", "11349_20141124", "11351_20141202", "11352_20141230", | |
| "11354_20141205", "11355_20141230", "11356_20150105", "11357_20150122", | |
| "11358_20150129", "11359_20150203", "11360_20150129", "11363_20150310", |
| #!/usr/bin/env bash | |
| # download and modify spacemacs | |
| # s.t. we do not have to overwrite our current emacs configuration | |
| # ideally: | |
| # 0. export PATH="$PATH:$HOME/bin" | |
| # 1. put this script in $HOME/bin/spacemacs | |
| # 2. use "spacemacs" to run spacemacs | |
| cfgd=$HOME/.spacemacs.d/ |