/
.Rhistory-alf-desktop
512 lines (512 loc) · 15.8 KB
/
.Rhistory-alf-desktop
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Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
questions <- c("des-med-13", "des-gen-14", "reglin-far-11")
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
questions <- c("des-med-13", "des-gen-14", "reglin-far-11")
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
questions <- c("des-med-13", "des-gen-14", "reglin-far-11")
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-10-26.R', echo=TRUE)
questions <- c("des-med-13", "des-gen-14", "reglin-far-11")
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-10-26.R', echo=TRUE)
library(remotes)
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-10-26.R', echo=TRUE)
## DATA GENERATION
library(ggplot2)
set.seed(123)
n <- 20
x <- rbinom(n, 10, 0.5)
y <- rbinom(n, 10, 0.2)
z <- rbinom(n, 10, 0.8)
Score <- c(x, y, z)
Subject <- c(rep('X', n), rep('Y', n), rep('Z', n))
data <- data.frame(Score, Subject)
p <- ggplot(data, aes(x=Score, y=Subject)) + geom_boxplot(width=0.5)
p
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-10-26.R', echo=TRUE)
source('/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-10-26.R', echo=TRUE)
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-10-26", "solution-phar-2020-10-26"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "October, 26 2020",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2020-10-26",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2020-10-261.latex", format="markdown")
source('/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-17.R', echo=TRUE)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-17", "solution-phar-2020-11-17"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 17 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-17", "solution-phar-2020-11-17"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 17 2020",
Version = "A",
Time = "1 hour"
)
)
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-17.R', echo=TRUE)
## DATA GENERATION
ntd <- 480
nth <- 2320
ncd <- 255
nch <- 1505
nt <- ntd + nth
nc <- ncd + nch
n <- nt + nc
n
## QUESTION/ANSWER GENERATION
pre <- (ntd + ncd) / n
pre
480/(489+2320)
rt
489/(489+2320)
480/(480+2320)
rt
255/(255+1505)
rc
rt/rc
exp(-14)*14^4/factorial(14)
exp(-14)*14^14/factorial(14)
dpois(14,14)
source('/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-23.R', echo=TRUE)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
## DATA GENERATION
sen <- 800/850
spe <- 0.9
pre <- 850 / (850 + 9150)
pre
source('/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-23.R', echo=TRUE)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
round(sqrt(1)/1)
round(sqrt(2)/2)
sqrt(2)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
exams2pdf(questions, n=1, name = c("exam-phar-2020-11-23", "solution-phar-2020-11-23"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "November, 23 2020",
Version = "A",
Time = "1 hour"
)
)
pnorm(15, 16, 0.608, lower.tail = F)
pnorm(15, 13.5857, 0.608, lower.tail = F)
pnorm(17,16,0.608)-pnorm(15.5, 16, 0.608)
source('/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-23.R', echo=TRUE)
1.5/2
0.5-0.2266
17+0.84*2
source('/run/media/alf/datos/CEU/DOCENCIA/ejercicios/problems-repository/statistics/theory/exams/exam-phar-2020-11-23.R', echo=TRUE)
dbinom(3, 5, 0.8647)
dbinom(4, 5, 0.8647)
dbinom(5, 5, 0.8647)
pnorm(1)
pnorm(-0.67)
pnorm(1)-pnorm(-0.67)
8/3
pnorm(2.67)
qnorm(0.8)
12+0.84*3
0.3/0.45
0.15/0.45
260+82+25+9633
0.0025/0.974
1-0.0025/0.974
0.974*(1-0.0025/0.974)
0.9715/(0.0082+0.9715)
0.0178/(0.0178+0.0025)
library("knitr")
library("exams")
setwd("calculus/theory/exams")
questions <- c("edo-far-2.Rnw", "derpar-gen-2.Rnw", "der-gen-1")
exams2pdf(questions, n=1, name = c("exam-phar-2021-01-18-calc", "solution-phar-2021-01-18-calc"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "CALCULUS",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "January 18, 2021",
Version = "A",
Time = "1 hour"
)
)
# Borrar directorio de imagenes del examen
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2021-01-18-calc",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2021-01-18-calc1.latex", format="markdown")
setwd("/datos/CEU/DOCENCIA/ejercicios/problems-repository")
setwd("statistics/theory/exams")
questions <- c("des-gen-16", "reglin-med-13", "reglin-gen-14")
exams2pdf(questions, n=1, name = c("exam-phar-2021-01-18-des", "solution-phar-2021-01-18-des"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (DESCRIPTIVE STATISTICS AND REGRESSION)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "January, 18 2021",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2021-01-18-des",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2021-01-18-des1.latex", format="markdown")
questions <- c("test-med-5", "vad-opt-12", "vac-gen-12")
exams2pdf(questions, n=1, name = c("exam-phar-2021-01-18-prob", "solution-phar-2021-01-18-prob"), encoding = "UTF-8",
dir = "pdf",
edir = "../questions",
template = c("templates/examceu.tex", "templates/solutionceu.tex"),
header = list(
Subject = "STATISTICS\\\\[2mm] (PROBABILITY AND RANDOM VARIABLES)",
Degree= "Pharmacy/Biotechnology 1st year",
Date = "January 18, 2021",
Version = "A",
Time = "1 hour"
)
)
# Remove directory of exam images
unlink("img/exam1", recursive = TRUE)
exams2pandoc(questions, n=1,
name = "exam-phar-2021-01-18-prob",
encoding = "UTF-8",
type="latex",
dir = "latex",
edir = "../questions",
sdir = "img",
template = c("templates/plain.tex"),
svg=T
)
pandoc("latex/exam-phar-2021-01-18-prob1.latex", format="markdown")