CRDC: Calculus

knitr::opts_chunk$set(echo = TRUE)

library(ggplot2)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(tidyr)
library(tidyverse)

## -- Attaching packages --------------------------------------- tidyverse 1.3.0 --

## v tibble  3.0.4     v stringr 1.4.0
## v readr   1.4.0     v forcats 0.5.0
## v purrr   0.3.4

## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

library(knitr)

#reading in merged Calculus  File -- with only the columns needed

setwd("C:/Users/BlaiseSevier/Desktop/R Work")

fileCal <- "Calculus.csv"

getwd()

## [1] "C:/Users/BlaiseSevier/Desktop/R Work"

Cal.sch <- read.csv(fileCal)

### How to set your working directory 
## In quotation marks, ("C: /Users/BlaiseSevier/Desktop/R Work")

setwd("C:/Users/BlaiseSevier/Desktop/R Work")

els.k12 <- 5296851
nonel.k12 <- 45625438


#Total Number of Students in HS
tot_enrol_hs <- 14183488
#Total Number of Non-Els in HS
non.el.hs <- 13108063
#Total Number of LEP in HS 
tot_lep_hs <- 1075425 

CRDC Survey Information

For more information about the school form see: https://www2.ed.gov/about/offices/list/ocr/docs/2017-18-crdc-school-form.pdf.

TOT_MATHENR_CALC_M Students Enrolled in Calculus: Calculated Male Total TOT_MATHENR_CALC_F Students Enrolled in Calculus: Calculated Female Total SCH_MATHENR_CALC_LEP_M Students Enrolled in Calculus: LEP Male SCH_MATHENR_CALC_LEP_F Students Enrolled in Calculus: LEP Female

Change Code from 0s to 9s

#Code to change the -9s to 0s

Cal.sch[Cal.sch==-9]<-0

Calculus

Non-English Learner Male Students Enrolled in Calculus Courses

#Computes the total number of a non-English Learner male students in Calculus courses

#dat$NonELM<- (dat$TOT_ENR_M - dat$TOT_LEPENR_M)

Cal.sch$NonELM <- (Cal.sch$TOT_MATHENR_CALC_M - Cal.sch$SCH_MATHENR_CALC_LEP_M)

sum(Cal.sch$NonELM)

## [1] 340004

#There are 340,004 Non-English Learner Male Students Enrolled in Calculus  

Non-English Learner Female Students in Calculus

#Total female non-EL 
#dat$NonELF <-dat$TOT_ENR_F-dat$TOT_LEPENR_F

Cal.sch$NonELF <- (Cal.sch$TOT_MATHENR_CALC_F - Cal.sch$SCH_MATHENR_CALC_LEP_F)
sum(Cal.sch$NonELF)

## [1] 341991

#There are 341,991 Non-English Learner Females Enrolled in Calculus  courses.

Total Non ELs in Calculus

#total non EL
#dat$NonEL<-dat$NonELF + dat$NonELM

Cal.sch$NonEL <- Cal.sch$NonELF + Cal.sch$NonELM

non.el.Cal <- sum(Cal.sch$NonEL)
non.el.Cal

## [1] 681995

#There are  681,995 Non-English Learners Enrolled in Calculus 

English Learners in Calculus

English Learner Males in Calculus

#Total Lep Male in Calculus 

#dat$ELMGT <- dat$SCH_GTENR_LEP_M

Cal.sch$ELM.Cal <- Cal.sch$SCH_MATHENR_CALC_LEP_M

sum(Cal.sch$SCH_MATHENR_CALC_LEP_M)

## [1] 4105

sum(Cal.sch$ELM.Cal)

## [1] 4105

## There is 4,105 English Learner Males in Calculus  

English Learner Females in Calculus

#Total LEP Female in GT
#dat$ELFGT <- dat$SCH_GTENR_LEP_F

Cal.sch$ELF.Cal <- Cal.sch$SCH_MATHENR_CALC_LEP_F

sum(Cal.sch$ELF.Cal)

## [1] 3815

## There are 3,815 EL Females in Calculus Classes 

Total English Learners in Calculus

#dat$ELEnrol <- dat$TOT_LEPENR_M + dat$TOT_LEPENR_F

Cal.sch$ELEnrolCal<- Cal.sch$ELM.Cal + Cal.sch$ELF.Cal

els.Cal <- sum(Cal.sch$ELEnrolCal)

sum(els.Cal)

## [1] 7920

## There is 7,920 English learners in Calculus   

Percentage of ELs and Non ELs in Calculus Courses

round(els.Cal/tot_lep_hs*100,2)

## [1] 0.74

round(els.Cal/els.k12*100,2)

## [1] 0.15

round(non.el.Cal/non.el.hs*100,2)

## [1] 5.2

round(non.el.Cal/nonel.k12*100,2)

## [1] 1.49