bhive01

Date/Time:        2020-05-01 18:29:02 -0700
End time:         2020-05-01 18:37:21 -0700
OS Version:       Mac OS X 10.15.4 (Build 19E287)
Architecture:     x86_64h
Report Version:   29

Data Source:      Stackshots
Shared Cache:     0x5753000 397AAAC6-1F11-3E99-B86A-5F8C9F2518F4

Command:          R

bhive01

library(agricolae)
library(tidyverse)

mtcars2 <- 
	mtcars %>%
	#move rownames to new column called Model
	rownames_to_column(var = "Model")

# how does cyl predict displacment	
aov_cars <- aov(disp ~ cyl, data = mtcars2)

bhive01

data <- dget("example_data.dput")

data_summary <- 
	function(df, V1, V2, V3, V4, value) {
		V1_var <- enquo(V1)
		V2_var <- enquo(V2)
		V3_var <- enquo(V3)
		V4_var <- enquo(V4)
		layer_1 <- enquos(V1, V2, V3, V4)
		layer_2 <- enquos(V1, V2, V4)

bhive01

library(tidyverse)


not_the_fucking_same <- function(x, y, keepNAs = "all") {
	if (keepNAs == "all") {
		x != y | is.na(x) | is.na(y)
	} else if (keepNAs == "x") {
		x != y | is.na(x)
	} else if (keepNAs == "y") {
		x != y | is.na(y)

bhive01

library(openxlsx)
library(readxl)
library(Hmisc)
library(tidyverse)

#write out the iris dataset
# write.xlsx(iris, "iris.xlsx") just to show you how

# read in a dataset from excel
iris2 <- read_excel("iris.xlsx") # this assumes it's in R's working directory (the one it boots up with)

bhive01

---
title: "Untitled"
author: "Brandon Hurr"
date: "4/18/2018"
output:
  beamer_presentation:
    latex_engine: xelatex
---

```{r setup, include=FALSE}

bhive01

# TESTING HARDWARE
# see3CAM_CU40
# raspberry Pi 3 bf8
# Raspbian Stretch 13-03-2018
# Python 3.5.3
# OpenCV 3.4.1

# load required libraries
import math
import numpy as np

bhive01

# TESTING HARDWARE
# see3CAM_CU40
# raspberry Pi 3 bf8
# Raspbian Stretch 13-03-2018
# Python 3.5.3
# OpenCV 3.4.1

# load required libraries
import math
import numpy as np

bhive01

import math
import numpy as np
import cv2

cam = cv2.VideoCapture(0)

cam.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
cam.set(cv2.CAP_PROP_CONVERT_RGB, False) # turn off RGB conversion
# cam.set(cv2.CAP_PROP_FOURCC('Y', '1', '6', ''))

bhive01

import math
import numpy as np
import cv2

cam = cv2.VideoCapture(0)

cam.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cam.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
cam.set(cv2.CAP_PROP_CONVERT_RGB, False) # turn off RGB conversion
# cam.set(cv2.CAP_PROP_FOURCC('Y', '1', '6', ''))