(Descriptive) Data Analyses with Shiny & R
Analyses
Information
Select a .csv file to be uploaded:
Browse...
Header
Separator
Comma
Semicolon
Tab
Decimal
Comma
Period
Quote
None
Double Quote
Single Quote
Example Data
Diamonds (ggplot2 package)
Holzinger1939 (lavaan package)
Highschool and beyond (merTools package)
Now, I want to upload data!
Filter variable (optional)
Select operator
==
>
<
>=
<=
Filter value
Show information about the data set: str(data)
Continuous Variables
Which statistics?
Measures of
central tendency
Mean
Median
Mode
Measures of
variability
Standard deviation
Variance
Minimum
Maximum
Measures of
shape
Skewness
Kurtosis
Show Histogram(s)
Categorical Variables
Download descriptive statistics
Variable Y (required)
Variable X (required)
Method:
pearson
kendall
spearman
Direction of hypothesis:
two.sided
less
greater
Confidence interval:
Scatterplot
Download correlation analysis
Variable Y (required)
Group-Variable X (required)
True value μ
Direction of hypothesis:
two.sided
less
greater
Confidence interval:
Equal variances
Dotplot
Download t-Test analysis
Variable Y (required)
Scale level of Y:
metric
binary
Variable X (required)
Cluster (optional)
Weight (optional)
Download regression analysis
Variable Y (required)
Ordered Y variables:
Predictors X (required)
Cluster (optional)
Weight (optional)
Model specification
Fixed Predictors (fixed.x)?
Meanstructure?
Estimator:
ML
MLR
PML
MLM
MLMVS
MLMV
WLS
WLSMV
DWLS
GLS
ULS
ULSM
ULSMV
Missing data:
default
direct
ml
fiml
listwise
pairwise
available.cases
Output
Fit measures?
Standardized solution?
Explained Variance
Data
Descriptive statistics
Correlation
t-Test
Regression Modeling
Path analysis
This Shiny App is designed to calculate basic descriptive statistics.