Publications by Nirmal Ghimire, K-16 Literacy Center
R-Basic Part I
Highlights: Creating Objects 1.i. Checking Available Objects in the Active Working Directory 1.ii. Calculating the Quadratic Equation for the Value of X 1.iii. Removing Unnecessary Objects from the Working Directory Functions 2.i. Five Basic Characteristics Data Sets and Variables Variable Types Writing Loops in R 5.i. Write Codes for all P...
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Creating a Fake Data Set
The data set will be about the highschools in a school district. It is going to be a really big school district. It will have 500 High schools. These are the variables I am going to create: fnteacher = Number of female teachers per high schools in a district fsalary = Average salary of the female teachers by school femaleperc = Percentage of fema...
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Doing More with Regression Output in R
Loading Required Libraries For any analyses, we need to load libraries. They allow us conduct a variety of tasks. They are like ‘keys to the different rooms’ within a house. Without a key to master bedroom, nobody can go and take rest there, for example. a. tidyverse: The tidyverse is a set of packages that work in harmony because they share ...
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R-Basic Part VII
*Highlights The str() function Simulation - Generating Random Numbers Simulation - Sample Linear Model Simulation - Random Sampling R Profiling The str() function It’s a diagnostic function and it can be used as an alternative to summary() function Outputs a compact display of variables in an array or a dataset Provides oneline summary of k...
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Program Evaluation Analyst Performance Task
Performance Task Staff from the Learning and Teaching (L&T) department are deciding which programs to implement during the upcoming school year. A vocabulary-building software program called Ready2Read was piloted last year (for the full school year) in 16 elementary schools for students in grades 2-5. The Assistant Superintendent for L&T brought...
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Sample Research 2
Invoking Required Libraries library(kableExtra)#To create Codebook Table library(generics)#to avoid conflicts among similar functions library(tidyverse)#To facilitate work flow library(tidyr)#To manipulate Data Files library(cowplot)#To put graphs together library(readxl)#To read the given excel file library(ggplot2)#To Visualize data li...
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Working on purrr
1. Purrr in R This package is amazing. Knowledge of this package significantly simplifies the process of getting some key information during data analysis. Loading the tidyverse package: purr is a package within tidyverse universe. We don’t have to load “purr” to be able to use it because loading tidyverse would do it. However, for the pur...
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simulating data
rm(list = ls()) #Loading Required Packages library(ggplot2) # Grammar of data plotting system library(cowplot) # Compilation of the plots and figures library(tidyverse) # Data manipulation library(hrbrthemes) # A package that provides typography-centric themes and theme components for ggplot2 library(gtable) # Help construct and manipulate...
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Reading Table and Data Manipulation
Reading the Datafile in R #Invoking Required Libraries library(foreign) library(tidyverse) library(dplyr) library(ggplot2) library(pander) library(readxl) # Uploading the Given Data D_data <- read.spss("Duplicate_data.sav", to.data.frame=TRUE) #Changing the data into a data frame D_data <- as.data.frame(D_data) # Checking the variab...
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Data Table Manipulation
Rearranging the Data For MARSI Analysis A. Invoking the Required Libraries library(foreign) library(dplyr) library(reshape) library(WRS) rm(list = ls()) Reading the Data D_data <- read.spss("Duplicate_data.sav") # Changing the data into a data frame D_data <- as.data.frame(D_data) # Checking the Dataset str(D_data) 'data.frame': 13 ...
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