- Chest press: 3x with 20 kg
- Floor Flys with 5 kg dumbbells
- Curl biceps simultanously with 5 kg dumbbells
- Squats with dumbbells with 10 kg dumbbells
- Step ups
- Single leg deadlift
- Lunges with dumbbells with 5 kg dumbbells
Please note, data will be randomised until December 2014. It is based on Ipsos MORI's long term Issues Index survey 1974 - 2014.
# Author: Daniel Oberski | |
# Date: 2017-08-01 | |
# Bivariate residual statistic for latent class analysis | |
# Calculate the BVR for poLCA objects | |
# Argument: a poLCA object | |
# Value: a dist object with BVRs | |
# Example: bvr(fit) |
From San Francisco to New York to Paris, city governments, high-class restaurants, | |
schools, and religious groups are ditching bottled water in favor of what comes out of the | |
faucet. With people no longer content to pay 1,000 times as much for bottled water, a | |
product no better than water from the tap, a backlash against bottled water is growing. | |
(5) The U.S. Conference of Mayors, which represents some 1,100 American cities, | |
discussed at its June 2007 meeting the irony of purchasing bottled water for city employees | |
and for city functions while at the same time touting1 the quality of municipal water. The | |
group passed a resolution sponsored by Mayors Gavin Newsom of San Francisco, Rocky | |
Anderson of Salt Lake City, and R. T. Rybak of Minneapolis that called for the examination | |
(10) of bottled water’s environmental impact. The resolution noted that with $43 billion a year |
library(shiny) | |
# Define the fields we want to save from the form | |
fields <- c("name", "used_shiny", "r_num_years") | |
# Save a response | |
# ---- This is one of the two functions we will change for every storage type ---- | |
saveData <- function(data) { | |
data <- as.data.frame(t(data)) | |
if (exists("responses")) { |
library(shiny) | |
library(ggplot2) | |
# Get the current day of the month | |
dom <- 25 | |
# Define the target for salespeople in our organization. | |
salesTarget <- 15000 | |
# Set the seed so we always get the same data. |
date | Airbus | Boeing | |
---|---|---|---|
2000-07-31 | 0 | 0 | |
2000-08-31 | -0.884 | 9.8912 | |
2000-09-29 | 9.6685 | 32.1383 | |
2000-10-31 | 32.5967 | 38.9245 | |
2000-11-30 | 33.1492 | 41.4853 | |
2000-12-29 | 30.7182 | 35.2113 | |
2001-01-31 | 27.0718 | 19.8464 | |
2001-02-28 | 24.3094 | 27.4264 | |
2001-03-30 | 16.0773 | 14.1306 |