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18.11.2021

Part 1: Sensor Dataset We use the San Antonio Smart Sensor Data for Weather in Medical Center, Downtown and Brooks ## Rows: 898098 Columns: 8 ## -- Column specification -------------------------------------------------------- ## Delimiter: "," ## chr (2): Sensor_id, Zone ## dbl (5): LAT, LONG, Temp_F, Humidity, Pressure_Pa ## dttm (1): Dat...

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Publish Document

12.11.2021

Functions Tasks relevel() Reorders the levels of a factor. glm() Fits various generalized linear models. round() Rounds the number to a specified digits. cbind() Column-bind two data.frames. exp() Takes exponential of the input value. PseudoR2() Calculates various pseudo R-squared statistics based on the log-likelihoods. 1. Introduction In...

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Publish Document

05.11.2021

Functions Tasks cooks.distance() Calculates cook’s distance. text() Draws text labels at the coordinates given by x and y. ifelse() Returns conditional outputs based on the test. loessLine() Draws nonparametric regression lines. predict() Make predictions using regression objects. If no new data is supplied, the data used for the fitting i...

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Document

28.10.2021

Installing relevant packages and setting WD packages <- c("rtweet", "ggplot2", "dplyr", "tidytext", "tidyverse", "igraph", "ggraph", "tidyr", "wordcloud2", "textdata") # Install packages not yet installed installed_packages <- packages %in% rownames(installed.packages()) if (any(installed_packages == FALSE)) { install.packages(packages[!inst...

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Document

20.10.2021

Installing and loading packages pkgs <- c("tidyverse", "sf","tmap","spatstat","maptools", "sqldf","spatstat.geom", "leaflet.providers", "markdown", "polyclip","ggmap") list.packages <- pkgs[!(pkgs %in% installed.packages()[,"Package"])] if(length(list.packages)) install.packages(list.packages) ...

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Document

30.09.2021

pkgs <-c("tidyverse","sf", "tmap", "jsonlite","devtools","yelpr", "spatstat","maptools") sapply(pkgs, library, character.only = TRUE) hotel_resp <- read.csv("hotel_response.csv") grocery_resp <- read.csv("grocery_response.csv") hotel_resp$type <- "hotel" grocery_resp$type <- "grocery" resp_stack <- rbind(hotel_resp, grocery_resp) Convert res...

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Document

30.09.2021

pkgs <- c("tigris", "GWmodel","tidyverse","psych","tmap","sf","rgdal") #install.packages("shinjs") list.packages <- pkgs[!(pkgs %in% installed.packages()[,"Package"])] if(length(list.packages)) install.packages(list.packages) invisible(sapply(pkgs, library, character.only = T)) restaurantPts= read.csv('restaurantP...

1934 sym R (4955 sym/30 pcs) 3 img

Document

16.09.2021

Installing and loading packages pkgs <- c("tidyverse", "sf","tmap","spatstat","maptools", "sqldf","spatstat.geom", "leaflet.providers", "markdown", "polyclip","ggmap") list.packages <- pkgs[!(pkgs %in% installed.packages()[,"Package"])] if(length(list.packages)) install.packages(list.packages) ...

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Week 2: Lab2 - Descriptive stats, frequency distribution, central tendency

30.08.2021

This lab will guide you through (1) reading in data from your computer, (2) examining their summary statistics including mean, median, variance, and range, and (3) drawing some basic charts and graphs to visualize our data. In specific, materials in this document include: Functions Tasks getwd() Print the current working directory setwd() Set ...

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Week 2: Lab2 - Descriptive stats, frequency distribution, central tendency

30.08.2021

This lab will guide you through (1) reading in data from your computer, (2) examining their summary statistics including mean, median, variance, and range, and (3) drawing some basic charts and graphs to visualize our data. In specific, materials in this document include: Functions Tasks getwd() Print the current working directory setwd() Set ...

8935 sym R (4722 sym/44 pcs) 8 img 1 tbl