library(ggplot2)
I = c(0,0,0,0,.005,0,.002,.01,.012,.01,.012,.0,.022,.020,.017,.03,.015,.052,.072,.06,.062,.062,.052,.047,.065,.09,.082,.077,.037,.017,.067)
data = data.frame(I,II,III,IV,V,VI,VII)
ggplot(data) + geom_point()
ggplot(data[I]) + geom_point()
ggplot(data[I],aes(x,y)) + geom_point()
data
mtcars
data = rbind(I,II,III,IV,V,VI,VII)
data
ggplot(data,aes(x="I",y="[],1]")) + geom_point()
plot(data)
par(mfrow=c(3,3))
"indigo"
par(mfrow=c(1,1))
plot(I, color="red",pch=21,xlab = "bins",ylab="frequency")
plot(I, gcolor="red",pch=21,xlab = "bins",ylab="frequency")
plot(I, gcolor="red",pch=21,xlab = "bins",ylab="frequency")
plot(II, gcolor="orange",pch=21,xlab="bins",ylab="frequency")
plot(III, gcolor="yellow",pch=21,xlab="bins",ylab="frequency")
plot(IV, gcolor="green",pch=21,xlab="bins",ylab="frequency")
plot(V, gcolor="blue",pch=21,xlab="bins",ylab="frequency")
plot(VI, gcolor="indigo",pch=21,xlab="bins",ylab="frequency")
plot(VII, gcolor="purple",pch=21,xlab="bins",ylab="frequency")
plot(VII, gcolor="purple",pch=16,xlab="bins",ylab="frequency")
plot(I, col="red",pch=16,xlab = "bins",ylab="frequency")
par(bg="pink")
plot(I, col="red",pch=16,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=16)
plot(I, col="red",pch=16,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=16)
points(III, col="yellow",pch=16)
points(IV, col="green",pch=16)
points(V, col="blue",pch=16)
points(VI, col="indigo",pch=16)
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="indigo",pch=8)
points(VII, col="purple",pch=8)
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="indigo",pch=8)
legend(0,0,legend=c("I","II","III","IV","V","VI","VII")
)
legend(0,0,legend=c("I","II","III","IV","V","VI","VII"))
legend(1,1,legend=c("I","II","III","IV","V","VI","VII"))
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="purple",pch=8)
points(VII, col="black",pch=8)
legend(1,1,legend=c("I","II","III","IV","V","VI","VII"))
legend(0,1,legend=c("I","II","III","IV","V","VI","VII"))
legend(1,95,legend=c("I","II","III","IV","V","VI","VII"))
legend(1,1,legend=c("I","II","III","IV","V","VI","VII"))
legend(1,1,legend=c("I","II","III","IV","V","VI","VII"),fill="white")
legend(1,1,legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend(legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend(0,legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend(3,legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend(x=0,y=1legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend(x=0,y=1,legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
par(bg="pink")
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="purple",pch=8)
points(VII, col="black",pch=8)
legend(x=0,y=1,legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),fill="white",col=c("red","orange","yellow","green","blue","purple","black"))
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=c("red","orange","yellow","green","blue","purple","black"))
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=1:7)
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="purple",pch=8)
points(VII, col="black",pch=8)
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=1:7)
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=c("red","orange","yellow","green","blue","purple","black"))
plot(I, col="red",pch=8,xlab = "bins",ylab="frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="purple",pch=8)
points(VII, col="black",pch=8)
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=c("red","orange","yellow","green","blue","purple","black"))
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),col=c("red","orange","yellow","green","blue","purple","black"))
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),fill=c("red","orange","yellow","green","blue","purple","black"))
plot(I, col="red",pch=8,xlab = "Bins",ylab="Frequency")
points(II, col="orange",pch=8)
points(III, col="yellow",pch=8)
points(IV, col="green",pch=8)
points(V, col="blue",pch=8)
points(VI, col="purple",pch=8)
points(VII, col="black",pch=8)
legend("topleft",legend=c("I","II","III","IV","V","VI","VII"),fill=c("red","orange","yellow","green","blue","purple","black"))
bins = rep(c(1:31),each=7)
bins
1:31
bins = rep(c((1:31)),each=7)
1:31
bins
bins = rep(c((1:31)),times=7)
bins
sample = rep(c("I","II","III","IV","V","VI","VII"), each =31)
sample
library(tidyverse)
I = c(0,0,0,0,.005,0,.002,.01,.012,.01,.012,.0,.022,.020,.017,.03,.015,.052,.072,.06,.062,.062,.052,.047,.065,.09,.082,.077,.037,.017,.067)
II = c(0,0,.002,0,0,.004,.004,.011,.009,.015,.013,.017,.028,.028,.019,.026,.030,.043,.054,.054,.058,.078,.061,.061,.056,.082,.069,.078,.032,.030,.035)
III = c(0,0,0,0,0,0,.012,.006,.014,.006,.017,.012,.038,.012,.003,.029,.049,.043,.078,.058,.064,.066,.052,.072,.069,.061,.081,.075,.026,.006,.052)
IV = c(0,0,0,0,0,.003,.006,.009,.006,.009,.012,.006,.037,.018,.027,.040,.015,.046,.095,.073,.067,.064,.052,.043,.052,.061,.073,.076,.015,.027,.067)
V = c(0,0,0,0,0,.010,.012,.012,.007,.022,.026,.014,.034,.026,.031,.022,.034,.043,.048,.058,.077,.046,.050,.050,.072,.063,.050,.072,.019,.026,.075)
install.packages("assertthat")
library(tidyverse)
install.packages("Rcpp")
library(tidyverse)
I = c(0,0,0,0,.005,0,.002,.01,.012,.01,.012,.0,.022,.020,.017,.03,.015,.052,.072,.06,.062,.062,.052,.047,.065,.09,.082,.077,.037,.017,.067)
II = c(0,0,.002,0,0,.004,.004,.011,.009,.015,.013,.017,.028,.028,.019,.026,.030,.043,.054,.054,.058,.078,.061,.061,.056,.082,.069,.078,.032,.030,.035)
III = c(0,0,0,0,0,0,.012,.006,.014,.006,.017,.012,.038,.012,.003,.029,.049,.043,.078,.058,.064,.066,.052,.072,.069,.061,.081,.075,.026,.006,.052)
IV = c(0,0,0,0,0,.003,.006,.009,.006,.009,.012,.006,.037,.018,.027,.040,.015,.046,.095,.073,.067,.064,.052,.043,.052,.061,.073,.076,.015,.027,.067)
V = c(0,0,0,0,0,.010,.012,.012,.007,.022,.026,.014,.034,.026,.031,.022,.034,.043,.048,.058,.077,.046,.050,.050,.072,.063,.050,.072,.019,.026,.075)
VI = c(0,0,0,.002,0,.007,.005,.009,.009,.011,.014,.018,.043,.016,.027,.018,.043,.080,.062,.050,.084,.082,.062,.071,.050,.082,.057,.043,.005,.014,.034)
VII = c(0,.002,.002,.003,.002,.003,.013,.013,.018,.015,.020,.016,.031,.010,.042,.016,.021,.028,.056,.056,.090,.044,.044,.056,.065,.075,.083,.075,.025,.026,.051)
bins = rep(c((1:31)),times=7)
sample = rep(c("I","II","III","IV","V","VI","VII"), each =31)
values = c(I,II,III,IV,V,VI,VII)
length(values)
length(bins)
length(sample)
data = data.frame(bins,sample,values)
data
ggplot(data) +
geom_point(mapping=aes(x=bins,y=values,color=sample)) +
theme_bw()
ggplot(data) +
geom_point(mapping=aes(x=bins,y=values,color=sample)) +
theme_bw() + xlab("Bin") + ylab("Alelles") +
scale_x_continuous(breaks=(1:31))
library(tidyverse)
ggplot(data) +
geom_point(mapping=aes(x=bins,y=values,color=sample)) +
theme_bw() + xlab("Bin") + ylab("Alelle Frecuency") +
scale_x_continuous(breaks=(1:31))
a = c(9.96,9.97,9.95)
sd(a)
b = sd(a)
b
help(sd)
a = c(10.01,10.26,9.96)
sd(a)
a = c(9.63,9.74,9.76)
sd(a)
a = c(7.24,7.59,8.46)
sd(a)
a = c(1.027,1.029,1.026)
sd(a)
mean(a)
2,5/10.27
2.5/10.27
10.25/10
density = c(0.99,1.006,1.027,1.045,1.067)
concentration = (0.87,2.01,5.02,7.00,10.00)
concentration = c(0.87,2.01,5.02,7.00,10.00)
plot(density, concentration)
library(tidyverse)
I = c(0,0,0,0,.005,0,.002,.01,.012,.01,.012,.0,.022,.020,.017,.03,.015,.052,.072,.06,.062,.062,.052,.047,.065,.09,.082,.077,.037,.017,.067)
II = c(0,0,.002,0,0,.004,.004,.011,.009,.015,.013,.017,.028,.028,.019,.026,.030,.043,.054,.054,.058,.078,.061,.061,.056,.082,.069,.078,.032,.030,.035)
III = c(0,0,0,0,0,0,.012,.006,.014,.006,.017,.012,.038,.012,.003,.029,.049,.043,.078,.058,.064,.066,.052,.072,.069,.061,.081,.075,.026,.006,.052)
IV = c(0,0,0,0,0,.003,.006,.009,.006,.009,.012,.006,.037,.018,.027,.040,.015,.046,.095,.073,.067,.064,.052,.043,.052,.061,.073,.076,.015,.027,.067)
V = c(0,0,0,0,0,.010,.012,.012,.007,.022,.026,.014,.034,.026,.031,.022,.034,.043,.048,.058,.077,.046,.050,.050,.072,.063,.050,.072,.019,.026,.075)
VI = c(0,0,0,.002,0,.007,.005,.009,.009,.011,.014,.018,.043,.016,.027,.018,.043,.080,.062,.050,.084,.082,.062,.071,.050,.082,.057,.043,.005,.014,.034)
VII = c(0,.002,.002,.003,.002,.003,.013,.013,.018,.015,.020,.016,.031,.010,.042,.016,.021,.028,.056,.056,.090,.044,.044,.056,.065,.075,.083,.075,.025,.026,.051)
bins = rep(c((1:31)),times=7)
sample = rep(c("I","II","III","IV","V","VI","VII"), each =31)
values = c(I,II,III,IV,V,VI,VII)
data = data.frame(bins,sample,values)
ggplot(data) +
geom_point(mapping=aes(x=bins,y=values,color=sample)) +
theme_bw() + xlab("Bin") + ylab("Alelle Frecuency") +
scale_x_continuous(breaks=(1:31))
library(tidyverse)
density = c(0.99,1.006,1.027,1.045,1.067)
concentration = c(0.87,2.01,5.02,7.00,10.00)
data = data.frame(density,concentration)
data
ggplot(data) +
geom_point(mapping=aes(x=density,y=concentration,color=sample)) +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%")
ggplot(data) +
geom_point(mapping=aes(x=density,y=concentration)) +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%")
ggplot(data) +
geom_point(mapping=aes(x=density,y=concentration)) +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%")+
geom_smooth(method='lm')
ggplot(data) +
geom_point(mapping=aes(x=density,y=concentration)) +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%")
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%")
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%") +
ggtitle("Density vs Concentration of Prepared Solutions")
data = data.frame(density,concentration)
model <- lm(concentration~density, data=data)
summary(model)
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%") +
ggtitle("Density vs Concentration of Prepared Solutions") +
geom_label(x = x_lab, y = y_lab, label = "avg rate")
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%") +
ggtitle("Density vs Concentration of Prepared Solutions") +
geom_label(x = 1, y = 5, label = "avg rate")
summary(model)
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%") +
ggtitle("Density vs Concentration of Prepared Solutions") +
geom_label(x = 1, y = 5, label = "y = 120.94x - 119.23") +
geom_label(x = 1, y = 4, label = "R-squared: 0.9931") +
xx
library(tidyverse)
density = c(0.99,1.006,1.027,1.045,1.067)
concentration = c(0.87,2.01,5.02,7.00,10.00)
data = data.frame(density,concentration)
model <- lm(concentration~density, data=data)
summary(model)
ggplot(data, aes(x=density,y=concentration)) +
geom_point() +
geom_smooth(method='lm') +
theme_bw() + xlab("Density(g/mL)") + ylab("Concentration%") +
ggtitle("Density vs Concentration of Prepared Solutions") +
geom_label(x = 1, y = 5, label = "y = 120.94x - 119.23") +
geom_label(x = 1, y = 4, label = "R-squared: 0.9931")
p = c(5.10,5.25,5.16)
v = c(4.86,5.01,4.94)
mean(p)
sd(p)
mean(v)
sd(v)
A = c(0.335,0.199,0.0953,0.0278)
concentration = c(0.60,0.30,0.12,0.06)
data = data.frame(A,concentration)
model <- lm(A~concentration, data=data)
summary(model)
data = data.frame(A,concentration)
model <- lm((A-0.01674)~(concentration-0.01674), data=data)
summary(model)
data = data.frame(A,concentration)
model <- lm((A-0.01674)~(concentration-0.01674), data=data)
summary(model)
data = data.frame(A,concentration)
model <- lm(I(A-0.01674)~(concentration-0.01674), data=data)
summary(model)
c = c(5.10,5.26,5.17)
sd(c)
mean(c)
library(tidycensus)
library(tidyverse)
install.package("tidycensus")
install.packages("tidycensus")
library(tidyverse)
library(tidycensus)
library(tidycensus)
library(tidyverse)
library("writexl")
census_api_key("7a853acf81fd5758228680556ac831138c40b83e")
variables = load_variables(2019,"acs5")
variables
variables$name
match("DP02",variables)
variables$name[2000]
variables$name[3000]
variables$name[5000]
variables$name[10000]
variables$name[600000]
variables$name[60000]
variables$name[50000]
variables$name[40000]
variables$name[30000]
variables$name[20000]
variables = load_variables(2019,"acs5/profile")
variables
View(variables)
length(variables)
length(variables[1])
variables = load_variables(2021,"acs5/profile")
variables = load_variables(2020,"pl/profile")
variables = load_variables(2020,"acs5/profile")
variables
View(variables)
test = get_acs(geography = "county",
state = "PR",
year = 2020,
variables = "DP02_0001")
test
View(test)
test = get_acs(geography = "region",
state = "PR",
year = 2020,
variables = "DP02_0001")
test = get_acs(geography = "block",
state = "PR",
year = 2020,
variables = "DP02_0001")
test = get_acs(geography = "county",
state = "PR",
year = 2020,
variables = "DP02_0001")
View(test)
variables$name
codes = variables$name
test = get_acs(geography = "county",
state = "PR",
year = 2020,
variables = codes)
view(test)
noNA = na.omit(test)
noNA
view(noNA)
view(variables)
DP02table = noNA %>% filter(startsWith(variable,"DP02"))
DP02table
view(DP02table)
DP02table = noNA %>% filter(startsWith(variable,"DP02"))
DP03table = noNA %>% filter(startsWith(variable,"DP03"))
DP04table = noNA %>% filter(startsWith(variable,"DP04"))
DP05table = noNA %>% filter(startsWith(variable,"DP05"))
view(DP04table)
variables$name
variables$label
noNA$GEOID
table(noNA$GEOID)
length(table(noNA$GEOID))
view(test)
#amount of GEOIDS
for (x in 1:78){
labelCol = c(labelCol, labels)
}
#add label column
#create empty vector
labelCol = c()
#amount of GEOIDS
for (x in 1:78){
labelCol = c(labelCol, labels)
}
#combine test and cols
test["label"] = labelCol
labelCol
#amount of GEOIDS
for (x in 1:78){
labelCol = c(labelCol, labels)
}
labels()
labels()
labels
variables
variables$label
label
labels
label0 = variables$label
label0
#add label column
#create empty vector
labelCol = c()
#amount of GEOIDS
for (x in 1:78){
labelCol = c(labelCol, label0)
}
#combine test and cols
test["label"] = labelCol
view(test)
#omit NA rows
noNA = na.omit(test)
DP02table = noNA %>% filter(startsWith(variable,"DP02"))
DP03table = noNA %>% filter(startsWith(variable,"DP03"))
DP04table = noNA %>% filter(startsWith(variable,"DP04"))
DP05table = noNA %>% filter(startsWith(variable,"DP05"))
view(DP02table)
GEOIDS = table(test$GEOID)
GEOIDS
#rearrange cols
test = test[c("NAME","label","variable","estimate","moe","GEOID")]
view(test)
pnorm(1.25)
pnorm(1.25) - pnorm(-1.25)
pnorm(1.875) - pnorm(-1.25)
pnorm(0.75) - pnorm(-1.25)
pnorm(1.25) - pnorm(-2.5)
pnorm(2.7) - pnorm(2)
pnorm(1.54)
pnorm(1.54) - pnorm(-1.54)
qnorm(0.4564)
qnorm(0.9564)
qnorm(0.05)
qnorm(0.07)
qnorm(0.94)
qnorm(0.43)
pnorm(-0.18)
qnorm(0.43)
pnorm(-0.17)
pnorm(-1.30)
qnorm(0.70,400,80)
(106 - qnorm(0.70,106,21))/21
(qnorm(0.70,106,21)-106)/21
(qnorm(0.87,106,28)
)
qnorm(0.77)
0.74 * 17 + 108
pnorm(252,369,59)
pnorm(140,120,18) - pnorm(110,120,18)
qnorm(0.87,100,10)
1- pnorm(96,100,20)
pnorm(180,159,10) - pnorm(150,159,10)
(pnorm(180,159,10) - pnorm(150,159,10))*425
x = c(-40,0,260,460,960)
px = c(0.99510,1/200,1/500,1/1000,1/2000)
len(px)
length(px)
Ex = sum(x*px)
Vx = sum(((x-Ex)^2)*px)
Ex
Vx
library(tidycensus)
library(tidyverse)
tableYear = 2020
#log on with API
census_api_key("7a853acf81fd5758228680556ac831138c40b83e")
#load variables
pueblos = 78
variables = load_variables(2020,"acs5/profile")
codes = variables$name
codess
codes
startsWith(codes,"DP02")
callData = function(year,table,municipality) {
#year is between 2000 and 2020
#table is dp02pr, dp03, dp04, dp05
#load variables
variables = load_variables(year,"acs5/profile")
#load variable vectors
codes = variables$name
codesBool = startsWith(codes,table)
codes = codes[codesBool]
labels = variables$label[codesBool]
#pull table
bigTable = get_acs(geography = "county",
state = "PR",
year = year,
county = municipality,
variables = codes)
bigTable$Label = labels
return(bigTable)
}
table = callData(2020,"DP05","Aguada")
table
view(table)
view(table)
callData = function(year,table,municipality) {
#year is between 2000 and 2020
#table is dp02pr, dp03, dp04, dp05
#load variables
variables = load_variables(year,"acs5/profile")
#load variable vectors
codes = variables$name
codesBool = startsWith(codes,table)
codes = codes[codesBool]
labels = variables$label[codesBool]
#pull table
bigTable = get_acs(geography = "county",
state = "PR",
year = year,
county = municipality,
variables = codes)
bigTable$Label = labels
bigTable = bigTable[c("Label","estimate","moe")]
return(bigTable)
}
table = callData(2020,"DP05","Aguada")
view(table)
plumber::plumb(file='C:/Users/kashi/Desktop/R.R')$run()
plumb(file='C:/Users/kashi/Desktop/R.R')$run()
setwd("C:/Users/kashi/Desktop")
plumb(file='R.R')$run()
setwd("C:/Users/kashi/Desktop/censusproject")
plumb(file='R.R')$run()
plumb(file='R.R')$run()
plumb(file='R.R')$run()