This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.
df = read.csv2("D:\\TAM DAN NON-ORTHO\\01. Non ortho_ORAL MYOFUNCTIONAL EVALUATION WITH SCORE\\1.2. MOBILITY.csv")
library("lessR")
## Warning: package 'lessR' was built under R version 4.5.2
##
## lessR 4.5 feedback: gerbing@pdx.edu
## --------------------------------------------------------------
## > d <- Read("") Read data file, many formats available, e.g., Excel
## d is the default data frame, data= in analysis routines optional
##
## Many examples of reading, writing, and manipulating data, graphics,
## testing means and proportions, regression, factor analysis,
## customization, forecasting, and aggregation to pivot tables.
## Enter: browseVignettes("lessR")
##
## View lessR updates, now including modern time series forecasting
## and many, new Plotly interactive visualizations output. Most
## visualization functions are now reorganized to three functions:
## Chart(): type="bar", "pie", "radar", "bubble", "treemap", "icicle"
## X(): type="histogram", "density", "vbs" and more
## XY(): type="scatter" for a scatterplot, or "contour", "smooth"
## Most previous function calls still work, such as:
## BarChart(), Histogram, and Plot().
## Enter: news(package="lessR"), or ?Chart, ?X, or ?XY
## There is also Flows() for Sankey flow diagrams, see ?Flows
##
## Interactive data analysis for constructing visualizations.
## Enter: interact()
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:lessR':
##
## order_by, recode, rename
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(labelled)
## Warning: package 'labelled' was built under R version 4.5.3
# 1. MÃ HÓA VÀ GHI ĐÈ TRỰC TIẾP LÊN BIẾN GỐC
df <- df %>%
mutate(
# --- GENDER ---
Gender = factor(Gender, levels = c(0, 1), labels = c("male", "Female")),
# --- LIPS, TONGUE, CHEEK, JAW MOVEMENTS (Dùng across để mã hóa hàng loạt biến giống nhau) ---
across(
c(LM1, LM2, LM3, LM4,
TM1, TM2, TM3, TM4, TM5, TM6,
CM1, CM2, CM3, CM4,
JM1, JM2, JM3, JM4, JM5),
~ factor(., levels = c(1, 2, 3, 4, 5, 6),
labels = c("Absence of ability (not perform)",
"with associated movements_tremors",
"With tremors",
"With associated movement",
"Insufficient ability",
"Normal"))
),
# --- BREATHING ---
BF = factor(BF, levels = c(1, 2, 3, 4),
labels = c("Mouth - severe dysfunction", "Mouth - moderate dysfunction", "Mouth - light dysfunction", "Nasal")),
# --- DEGLUTITION (Các biến đo lường đơn lẻ) ---
DF1 = factor(DF1, levels = c(1, 2, 3, 4, 6),
labels = c("Does not perform", "Severe dysfunction", "Moderate dysfunction", "Light dysfunction", "Normal")),
DF2 = factor(DF2, levels = c(1, 2, 3, 4),
labels = c("Exceeds incisal surfaces/ vestibular cusps/ Greatly exceeds...",
"At limit of the incisal surfaces with normal VDO...",
"At limit of the incisal surfaces with reduced VDO...",
"Normal")),
DF3 = factor(DF3, levels = c(0, 1, 2), labels = c("Right", "Left", "both")),
DF4 = factor(DF4, levels = c(0, 1, 2), labels = c("Anterior", "Posterior", "Total")),
# --- DEGLUTITION & MASTICATION (Các biến Yes/No (Present/Absent) mã hóa hàng loạt) ---
across(
c(DF5, DF6, DF7, DF8, DF9, DF10, MF4, MF5, MF6),
~ factor(., levels = c(1, 2), labels = c("Present", "Absent"))
),
# --- BOLUS EFFICIENCY (Mã hóa hàng loạt) ---
across(
c(DF12, DF13),
~ factor(., levels = c(0, 1, 2), labels = c("Multiple", "Molar", "One"))
),
# --- MASTICATION (Các biến đo lường đơn lẻ) ---
MF1 = factor(MF1, levels = c(1, 2, 3, 4),
labels = c("Does not bite", "Molar", "Canine/ premolar", "Incisors")),
MF2 = factor(MF2, levels = c(1, 2, 4, 6, 8, 10),
labels = c("No mastication", "Chronic (95-100)/ Trituration on the incisors",
"Grade 2 (78-94)", "Grade 1 (61-77)", "Tapping teeth",
"Alternated (50-50 to 40-60)")),
MF3 = factor(MF3, levels = c(0, 1, 88),
labels = c("right", "left", "Not record"))
)
# 2. GẮN NHÃN MÔ TẢ (LABELS) CHO CÁC BIẾN
df <- df %>%
set_variable_labels(
Gender = "Gender",
# LIPS
LM1 = "Protrusion", LM2 = "Retrusion", LM3 = "To right", LM4 = "To left",
# TONGUE
TM1 = "Protrusion", TM2 = "Retrusion", TM3 = "To right", TM4 = "To left",
TM5 = "Raising", TM6 = "Lowering",
# CHEEK
CM1 = "To inflate", CM2 = "To suck", CM3 = "To retract", CM4 = "To transfer",
# JAW
JM1 = "Opening", JM2 = "Closing", JM3 = "Right", JM4 = "Left", JM5 = "Protrusion",
# BREATHING
BF = "Mode",
# DEGLUTITION
DF1 = "Lip closure without effort or with effort or tongue between dental arches",
DF2 = "Tongue contained in oral cavity or between dental arches/alveolar margins...",
DF3 = "Local tongue interposition",
DF4 = "Local tongue interposition",
DF5 = "Movements - head or other parts",
DF6 = "Mandible sliding",
DF7 = "Facial muscle tension",
DF8 = "Food escape",
DF9 = "Choking",
DF10 = "Noise",
DF12 = "Solid bolus efficiency",
DF13 = "Liquid bolus efficiency",
# MASTICATION
MF1 = "Bite",
MF2 = "Type Bilateral or Unilateral or Anterior or does not perform",
MF3 = "Preferred side (when MF2 is not 10)",
MF4 = "Movements - head or other parts",
MF5 = "Altered posture - head or other parts",
MF6 = "Food escape"
)