Nick Strayer nstrayer

## file199f5eb98261.R
---
title: "Homework6"
author: "Ben Lane"
date: "11/22/2017"
output: pdf_document
---


### Grade 44/50

## Backprop in JS.ipynb

      
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                nstrayer
                / Backprop in JS.ipynb
            
            
              Created
              October 24, 2017 22:00
            
              
                A quick and dirty demo of a neural network implemented in vanilla javascript (plus statdists.js). 
              
          
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## file64ed6fa4e47f.R
library(tidyverse)

data_frame(
    x = 1:100,
    y = rnorm(100)
  ) %>%
  mutate( y_quartile = ntile(y, 4) ) %>%
  head(5)

# # A tibble: 5 x 3

## file64ed6498dde8.R
library(tidyverse)

data_frame(
    x = 1:100,
    y = rnorm(100)
  ) %>%
  mutate( y_quartile = ntile(y, 4) ) %>%
  head(5)

# # A tibble: 5 x 3

## file64ed59725ca3.R
library(tidyverse)
data_frame(
    x = 1:20,
    y = rnorm(20)
  ) %>%
  mutate( y_tertile = ntile(y, 3) )

## README.md

      
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                nstrayer
                / README.md
            
            
              Last active
              August 29, 2017 20:45
            
              
                slid3r demo
              
          
    Simple slid3r.

This is a minimum use case example of the javascript library slid3r. It appends a slider into any SVG context you desire. See the library's main repo for more information.

  
## .block
height: 660

## README.md

      
              3 files
            
          
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                nstrayer
                / README.md
            
            
              Last active
              November 9, 2016 04:38
            
              
                Playing with a new intro to my website
              
          
    An animated random walk using a uniform distribution to decide the angle of departure.

  
## .block
license: gpl-3.0

## .block
license: gpl-3.0
	---
	title: "Homework6"
	author: "Ben Lane"
	date: "11/22/2017"
	output: pdf_document
	---


	### Grade 44/50
	library(tidyverse)

	data_frame(
	x = 1:100,
	y = rnorm(100)
	) %>%
	mutate( y_quartile = ntile(y, 4) ) %>%
	head(5)

	# # A tibble: 5 x 3
	library(tidyverse)
	data_frame(
	x = 1:20,
	y = rnorm(20)
	) %>%
	mutate( y_tertile = ntile(y, 3) )