output.txt

```R 
acf             # Auto- and Cross- Covariance and -Correlation Function Estimation
acf2AR          #Compute an AR Process Exactly Fitting an ACF
add.scope       #Compute Allowed Changes in Adding to or Dropping from a Formula
add1            #Add or Drop All Possible Single Terms to a Model
addmargins      #Puts Arbitrary Margins on Multidimensional Tables or Arrays
aggregate       #Compute Summary Statistics of Data Subsets
aggregate.data.frame  #Compute Summary Statistics of Data Subsets
aggregate.ts #Compute Summary Statistics of Data Subsets
AIC              #Akaike's An Information Criterion
alias           #Find Aliases (Dependencies) in a Model
anova           #Anova Tables
ansari.test     #Ansari-Bradley Test
aov             #Fit an Analysis of Variance Model
approx          #Interpolation Functions
approxfun       #Interpolation Functions
ar              #Fit Autoregressive Models to Time Series
ar.burg         #Fit Autoregressive Models to Time Series
ar.mle          #Fit Autoregressive Models to Time Series
ar.ols          #Fit Autoregressive Models to Time Series
ar.yw           #Fit Autoregressive Models to Time Series
arima           #ARIMA Modelling of Time Series
arima.sim       #ARIMA Modelling of Time Series
arima0          #ARIMA Modelling of Time Series – Preliminary Version
arima0.diag     #Defunct Functions in Package stats
ARMAacf         #Compute Theoretical ACF for an ARMA Process
ARMAtoMA        #Convert ARMA Process to Infinite MA Process
as.dendrogram   #General Tree Structures 
as.dist         #Distance Matrix Computation
as.formula      #Model Formulae
as.hclust       #Convert Objects to Class hclust
as.stepfun      #Step Functions - Creation and Class
as.ts           #Time-Series Objects
asOneSidedFormula #Convert to One-Sided Formula
ave              #Group Averages Over Level Combinations of Factors
bandwidth.kernel  #Smoothing Kernel Objects
bartlett.test   #Bartlett Test of Homogeneity of Variances
BIC             #Akaike's An Information Criterion
binom.test      #Exact Binomial Test
binomial        #Family Objects for Models
biplot          #Biplot of Multivariate Data
Box.test        #Box-Pierce and Ljung-Box Tests
bw.bcv          #Bandwidth Selectors for Kernel Density Estimation
bw.nrd          #Bandwidth Selectors for Kernel Density Estimation
bw.nrd0         #Bandwidth Selectors for Kernel Density Estimation
bw.SJ           #Bandwidth Selectors for Kernel Density Estimation
bw.ucv          #Bandwidth Selectors for Kernel Density Estimation
C               #Sets Contrasts for a Factor
cancor          #Canonical Correlations
case.names      #Case and Variable Names of Fitted Models
ccf             #Auto- and Cross- Covariance and -Correlation Function Estimation
chisq.test      #Pearson's Chi-squared Test for Count Data
cmdscale        #Classical (Metric) Multidimensional Scaling
coef            #Extract Model Coefficients
coefficients    #Extract Model Coefficients
complete.cases  #Find Complete Cases
confint         #Confidence Intervals for Model Parameters
confint.default #Confidence Intervals for Model Parameters
confint.lm      #Confidence Intervals for Model Parameters
constrOptim     #Linearly Constrained Optimization
contr.helmert   #(Possibly Sparse) Contrast Matrices
contr.poly      #(Possibly Sparse) Contrast Matrices
contr.SAS       #(Possibly Sparse) Contrast Matrices
contr.sum       #(Possibly Sparse) Contrast Matrices
contr.treatment #(Possibly Sparse) Contrast Matrices
contrasts       #Get and Set Contrast Matrices
contrasts<-     #Get and Set Contrast Matrices
convolve        #Convolution of Sequences via FFT
cooks.distance  #Regression Deletion Diagnostics
cophenetic      #Cophenetic Distances for a Hierarchical Clustering     
cor             #Correlation, Variance and Covariance (Matrices)
cor.test        #Correlation, Variance and Covariance (Matrices)
cov             #Correlation, Variance and Covariance (Matrices)
cov.wt          #Correlation, Variance and Covariance (Matrices)
cov2cor         #Correlation, Variance and Covariance (Matrices)
covratio        #Regression Deletion Diagnostics
cpgram          #Plot Cumulative Periodogram
cutree          #Cut a Tree into Groups of Data
cycle           #Sampling Times of Time Series
D               #Symbolic and Algorithmic Derivatives of Simple Expressions
dbeta           #done
dbinom          #done
dcauchy         #done
dchisq          #done
decompose       #Classical Seasonal Decomposition by Moving Averages
delete.response #Modify Terms Objects
deltat          #Sampling Times of Time Series
dendrapply      #Apply a Function to All Nodes of a Dendrogram
density         #Kernel Density Estimation
density.default #Kernel Density Estimation
deriv           #Symbolic and Algorithmic Derivatives of Simple Expressions
deriv3          #Symbolic and Algorithmic Derivatives of Simple Expressions    
deviance        #Model Deviance
dexp            #done
df              #done
df.kernel       #Smoothing Kernel Objects
df.residual     #Smoothing Kernel Objects
dfbeta          #Regression Deletion Diagnostics
dfbetas         #Regression Deletion Diagnostics
dffits          #Regression Deletion Diagnostics
dgamma          #done
dgeom           #done
dhyper          #done
diffinv         #Discrete Integration: Inverse of Differencing
dist            #Distance Matrix Computation
dlnorm          #done
dlogis          #done
dmultinom       #done
dnbinom         #done
dnorm           #done
dpois           #done 
drop.scope      #Compute Allowed Changes in Adding to or Dropping from a Formula
drop.terms      #Modify Terms Objects
drop1           #Add or Drop All Possible Single Terms to a Model
dsignrank       #done
dt              #done
dummy.coef      #Extract Coefficients in Original Coding
dummy.coef.lm   #Extract Coefficients in Original Coding   
dunif           #done
dweibull        #done
dwilcox         #done
ecdf            #Empirical Cumulative Distribution Function
eff.aovlist     #Compute Efficiencies of Multistratum Analysis of Variance
effects         #Effects from Fitted Model
embed           #Embedding a Time Series
end             #Encode the Terminal Times of Time Series
estVar          #SSD Matrix and Estimated Variance Matrix in Multivariate Models
expand.model.frame  #Add new variables to a model frame
extractAIC      #Extract AIC from a Fitted Model
factanal        #Factor Analysis
factor.scope    #Compute Allowed Changes in Adding to or Dropping from a Formula
family          #Family Objects for Models
fft             #Fast Discrete Fourier Transform (FFT)
filter          #Linear Filtering on a Time Series
fisher.test     #Fisher's Exact Test for Count Data
fitted          #Extract Model Fitted Values
fitted.values   #Extract Model Fitted Values
fivenum         #Tukey Five-Number Summaries
fligner.test    #Fligner-Killeen Test of Homogeneity of Variances
formula         #Model Formulae
frequency       #Sampling Times of Time Series
friedman.test   #Friedman Rank Sum Test
ftable          #Flat Contingency Tables
Gamma           #done
gaussian        #Family Objects for Models
get_all_vars    #Extracting the Model Frame from a Formula or Fit
getCall         #Update and Re-fit a Model Call
getInitial      #Get Initial Parameter Estimates
glm             #Fitting Generalized Linear Models
glm.control     #Auxiliary for Controlling GLM Fitting
glm.fit         #Fitting Generalized Linear Models
hasTsp          #Tsp Attribute of Time-Series-like Objects
hat             #Regression Deletion Diagnostics `hat(x, intercept = TRUE)`
hatvalues       #Regression Deletion Diagnostics
hclust          #Hierarchical Clustering
heatmap         #Draw a Heat Map
HoltWinters     #Holt-Winters Filtering
influence       #Regression Diagnostics
influence.measures  #Regression Deletion Diagnostics
integrate           #Integration of One-Dimensional Functions
interaction.plot    #Two-way Interaction Plot
inverse.gaussian    #Family Objects for Models
IQR                 #The Interquartile Range
is.empty.model      #Test if a Model's Formula is Empty
is.leaf             #General Tree Structures
is.mts              #Time-Series Objects
is.stepfun          #Step Functions - Creation and Class
is.ts               #Time-Series Objects
is.tskernel         #Smoothing Kernel Objects
isoreg              #Isotonic / Monotone Regression
KalmanForecast      #Kalman Filtering
KalmanLike          #Kalman Filtering
KalmanRun           #Kalman Filtering
KalmanSmooth        #Kalman Filtering
kernapply           #Apply Smoothing Kernel
kernel              #Smoothing Kernel Objects
kmeans              #K-Means Clustering
knots               #Step Functions - Creation and Class
kruskal.test        #Kruskal-Wallis Rank Sum Test
ks.test             #Kolmogorov-Smirnov Tests
ksmooth             #Kernel Regression Smoother
lag                 #Lag a Time Series
lag.plot            #Lag a Time Series
line                #Robust Line Fitting
lm                  #Fitting Linear Models
lm.fit              #Fitter Functions for Linear Models
lm.influence        #Regression Diagnostics
lm.wfit             #Fitter Functions for Linear Models
loadings            #Print Loadings in Factor Analysis
loess               #Local Polynomial Regression Fitting
loess.control       #Set Parameters for Loess
loess.smooth        #Set Parameters for Loess
logLik              #Extract Log-Likelihood
loglin              #Fitting Log-Linear Models
lowess              #Scatter Plot Smoothing
ls.diag             #Compute Diagnostics for lsfit Regression Results
ls.print            #Print lsfit Regression Results
lsfit               #Find the Least Squares Fit
mad                 #Median Absolute Deviation
mahalanobis         #Mahalanobis Distance
make.link           #Create a Link for GLM Families
makeARIMA           #Kalman Filtering
makepredictcall     #Utility Function for Safe Prediction
manova              #Multivariate Analysis of Variance
mantelhaen.test     #Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
mauchly.test        #Mauchly's Test of Sphericity
mcnemar.test        #McNemar's Chi-squared Test for Count Data
median              #Median Value
median.default      #Median Value
medpolish           #Median Polish (Robust Twoway Decomposition) of a Matrix
model.extract       #Extract Components from a Model Frame
model.frame         #Extracting the Model Frame from a Formula or Fit
model.frame.default #Extracting the Model Frame from a Formula or Fit
model.matrix        #Construct Design Matrices
model.matrix.default  #Construct Design Matrices
model.matrix.lm     #Construct Design Matrices 
model.offset        #Extract Components from a Model Frame
model.response      #Extract Components from a Model Frame
model.tables        #Compute Tables of Results from an Aov Model Fit
model.weights       #Extract Components from a Model Frame
monthplot           #Plot a Seasonal or other Subseries from a Time Series
mood.test           #Mood Two-Sample Test of Scale
mvfft               #Fast Discrete Fourier Transform (FFT)
na.action           #NA Action
na.contiguous       #Find Longest Contiguous Stretch of non-NAs
na.exclude          #Handle Missing Values in Objects
na.fail             #Handle Missing Values in Objects
na.omit             #Handle Missing Values in Objects
na.pass             #Handle Missing Values in Objects
napredict           #Adjust for Missing Values
naprint             #Adjust for Missing Values
naresid             #Adjust for Missing Values  
nextn               #Highly Composite Numbers
nlm                 #Non-Linear Minimization
nlminb              #Optimization using PORT routines
nls                 #Nonlinear Least Squares
nls.control         #Control the Iterations in nls
NLSstAsymptotic     #Fit the Asymptotic Regression Model
NLSstClosestX       #Inverse Interpolation
NLSstLfAsymptote    #Horizontal Asymptote on the Left Side
NLSstRtAsymptote    #Horizontal Asymptote on the Right Side
nobs                #Extract the Number of Observations from a Fit.
numericDeriv        #Evaluate Derivatives Numerically
offset              #Include an Offset in a Model Formula
oneway.test         #Test for Equal Means in a One-Way Layout
optim               #General-purpose Optimization
optimHess           #General-purpose Optimization
optimise            #General-purpose Optimization
optimize            #One Dimensional Optimization
order.dendrogram    #Ordering or Labels of the Leaves in a Dendrogram
p.adjust            #Adjust P-values for Multiple Comparisons
p.adjust.methods    #Adjust P-values for Multiple Comparisons
pacf                #Auto- and Cross- Covariance and -Correlation Function Estimation
pairwise.prop.test  #Pairwise comparisons for proportions
pairwise.t.test     #Pairwise t tests
pairwise.table      #Tabulate p values for pairwise comparisons
pairwise.wilcox.test #Pairwise Wilcoxon Rank Sum Tests
pbeta               #done
pbinom              #done
pbirthday           #Probability of coincidences
pcauchy             #done
pchisq              #done
pexp                #done
pf                  #done
pgamma              #done
pgeom               #done
phyper              #done
plclust             #Deprecated Functions in Package stats
plnorm              #done
plogis              #done
plot.ecdf           #Empirical Cumulative Distribution Function    
plot.spec.coherency #Plotting Spectral Densities
plot.spec.phase     #Plotting Spectral Densities
plot.stepfun        #Plot Step Functions
plot.ts             #Plotting Time-Series Objects
pnbinom             #done
pnorm               #done
poisson             #done
poisson.test        #Exact Poisson tests
poly                #Compute Orthogonal Polynomials
polym               #Compute Orthogonal Polynomials
power               #Create a Power Link Object
power.anova.test    #Power Calculations for Balanced One-Way Analysis of Variance Tests
power.prop.test     #Power Calculations for Two-Sample Test for Proportions
power.t.test        #Power calculations for one and two sample t tests
PP.test             #Phillips-Perron Test for Unit Roots
ppoints             #Ordinates for Probability Plotting
ppois               #done
ppr                 #Projection Pursuit Regression
prcomp              #Principal Components Analysis
predict             #Model Predictions
predict.glm         #Predict Method for GLM Fits
predict.lm          #Predict method for Linear Model Fits
preplot             #Pre-computations for a Plotting Object
princomp            #Principal Components Analysis
printCoefmat        #Print Coefficient Matrices
profile             #Generic Function for Profiling Models
proj                #Projections of Models
promax              #Rotation Methods for Factor Analysis
prop.test           #Test of Equal or Given Proportions
prop.trend.test     #Test for trend in proportions
psignrank           #done
pt                   #done
ptukey               #done
punif                #done
pweibull             #done
pwilcox              #done
qbeta                #done
qbinom               #done
qbirthday            #Probability of coincidences
qcauchy              #done
qchisq               #done
qexp                 #done
qf                   #done
qgamma               #done   
qgeom                #done
qhyper               #done
qlnorm               #done
qlogis               #done
qnbinom              #done
qnorm                #done
qpois                #done
qqline               #done
qqnorm               #done
qqplot              #Quantile-Quantile Plots
qsignrank            #done
qt                   #done
qtukey               #done
quade.test          #Quade Test
quantile            #Sample Quantiles
quasi               #Family Objects for Models
quasibinomial       #Family Objects for Models
quasipoisson         #Family Objects for Models
qunif                #done
qweibull             #done
qwilcox              #done
r2dtable             #Random 2-way Tables with Given Marginals
rbeta                #done
rbinom               #done
rcauchy              #done
rchisq               #done
read.ftable         #Manipulate Flat Contingency Tables
rect.hclust         #Draw Rectangles Around Hierarchical Clusters
reformulate         #Modify Terms Objects
relevel             #Reorder Levels of Factor
reorder             #Reorder Levels of a Factor
replications        #Number of Replications of Terms
reshape             #Reshape Grouped Data
resid               #Extract Model Residuals
residuals           #Extract Model Residuals
residuals.glm       #Accessing Generalized Linear Model Fits
residuals.lm        #Accessing Linear Model Fits
rexp                 #done
rf                   #done
rgamma               #done
rgeom                #done
rhyper               #done
rlnorm               #done
rlogis               #done
rmultinom            #done
rnbinom              #done
rnorm                #done
rpois                #done
rsignrank            #done
rstandard           #Regression Deletion Diagnostics
rstudent             #done
rt                   #done
runif                #done
runmed              #Running Medians – Robust Scatter Plot Smoothing
rweibull             #done
rwilcox              #done
rWishart            #Random Wishart Distributed Matrices   
scatter.smooth      #Scatter Plot with Smooth Curve Fitted by Loess
screeplot           #Screeplots
sd                  #Standard Deviation
se.contrast         #Standard Errors for Contrasts in Model Terms
selfStart           #Construct Self-starting Nonlinear Models
setNames            #Set the Names in an Object
shapiro.test        #Shapiro-Wilk Normality Test
sigma               #Extract Residual Standard Deviation 'Sigma'
simulate            #Simulate Responses
smooth              #Tukey's (Running Median) Smoothing
smooth.spline       #Fit a Smoothing Spline
smoothEnds          #End Points Smoothing (for Running Medians)
sortedXyData        #Create a sortedXyData Object
spec.ar             #Estimate Spectral Density of a Time Series from AR Fit
spec.pgram          #Estimate Spectral Density of a Time Series by a Smoothed Periodogram
spec.taper          #Taper a Time Series by a Cosine Bell
spectrum            #Spectral Density Estimation
spline              #Interpolating Splines
splinefun           #Interpolating Splines
splinefunH          #Interpolating Splines  
SSasymp             #Self-Starting Nls Asymptotic Regression Model
SSasympOff          #Self-Starting Nls Asymptotic Regression Model with an Offset
SSasympOrig         #Self-Starting Nls Asymptotic Regression Model through the Origin
SSbiexp             #Self-Starting Nls Biexponential model
SSD                 #SSD Matrix and Estimated Variance Matrix in Multivariate Models
SSfol               #Self-Starting Nls First-order Compartment Model
SSfpl               #Self-Starting Nls Four-Parameter Logistic Model
SSgompertz          #Self-Starting Nls Gompertz Growth Model
SSlogis             #Self-Starting Nls Logistic Model
SSmicmen            #Self-Starting Nls Michaelis-Menten Model
SSweibull           #Self-Starting Nls Weibull Growth Curve Model
start               #Encode the Terminal Times of Time Series
stat.anova          #GLM Anova Statistics
step                #Choose a model by AIC in a Stepwise Algorithm
stepfun             #Step Functions - Creation and Class
stl                 #Seasonal Decomposition of Time Series by Loess
StructTS            #Fit Structural Time Series
summary.aov         #Summarize an Analysis of Variance Model
summary.glm         #Summarizing Generalized Linear Model Fits
summary.lm          #Summarizing Linear Model Fits
summary.manova      #Summary Method for Multivariate Analysis of Variance
summary.stepfun     #Step Functions - Creation and Class
supsmu              #Friedman's SuperSmoother
symnum              #Symbolic Number Coding
t.test              #Student's t-Test
termplot            #Plot Regression Terms
terms               #Model Terms, has class "terms" added
terms.formula       #Construct a terms Object from a Formula
time                #Sampling Times of Time Series
toeplitz            #Form Symmetric Toeplitz Matrix
ts                  #Time-Series Objects
ts.intersect        #Bind Two or More Time Series
ts.plot             #Plot Multiple Time Series
ts.union            #Bind Two or More Time Series
tsdiag              #Diagnostic Plots for Time-Series Fits
tsp                 #Tsp Attribute of Time-Series-like Objects
tsp<-               #Tsp Attribute of Time-Series-like Objects
tsSmooth            #Use Fixed-Interval Smoothing on Time Series
TukeyHSD            #Compute Tukey Honest Significant Differences
uniroot             #One Dimensional Root (Zero) Finding
update              #Update and Re-fit a Model Call
update.default      #Update and Re-fit a Model Call
update.formula      #Update and Re-fit a Model Call
var                 #Correlation, Variance and Covariance (Matrices)
var.test            #F Test to Compare Two Variances
variable.names      #Case and Variable Names of Fitted Models
varimax             #Rotation Methods for Factor Analysis
vcov                #Calculate Variance-Covariance Matrix for a Fitted Model Object
weighted.mean       #Weighted Arithmetic Mean
weighted.residuals  #Compute Weighted Residuals
weights             #Extract Model Weights
wilcox.test         #Wilcoxon Rank Sum and Signed Rank Tests
window              #Time Windows
window<-            #Time Windows
write.ftable        #Manipulate Flat Contingency Tables
xtabs               #Cross Tabulation
```