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ImIqbalStat
India
เข้าร่วมเมื่อ 2 ธ.ค. 2023
Welcome to my channel , your gateway to the world of data analysis using R Studio and other statistical packages, where we explore the realms of forestry and agriculture. Dive into the heart of datasets, as we uncover the insights within forests and farmlands alike. Immerse yourself in the intersection of data and nature, discovering the stories told by statistical analysis and visualizations. Whether you're a data enthusiast, forestry professional, or agriculture aficionado, Imstat is your companion on the journey through data-driven exploration. Subscribe for engaging tutorials, real-world applications, and a holistic view of the data-rich landscapes in forestry and agriculture. Let's cultivate knowledge together! 🌳🌾📊
วีดีโอ
Imneuron R Package
มุมมอง 3910 วันที่ผ่านมา
Link for package cran.r-project.org/web/packages/Imneuron/index.html Imneuron : AI Powered Neural Network Solutions for Regression Tasks It provides an advanced and flexible tool for creating and assessing neural network models based on artificial intelligence, specifically designed for regression analysis on datasets containing continuous target variables. Utilizing neural networks, users can ...
HD Models
มุมมอง 6816 วันที่ผ่านมา
Height-Diameter (H-D) models in forestry are mathematical models used to predict the height of trees based on their diameter at breast height (DBH). These models are important tools in forest management and research, helping foresters estimate tree volume, biomass, and other crucial forest stand characteristics. Here's an overview of these models and their significance: Purpose of H-D Models Tr...
Decision Tree vs Random Forest
มุมมอง 15023 วันที่ผ่านมา
Four Important R packages for experimental designs
มุมมอง 9924 วันที่ผ่านมา
link for description of packages cran.r-project.org/web/packages/agricolae/index.html cran.r-project.org/web/packages/doebioresearch/index.html cran.r-project.org/web/packages/ExpDes/index.html cran.r-project.org/web/packages/AgroR/index.html
Logistic Regression vs Decision Tree
มุมมอง 6728 วันที่ผ่านมา
Logistic Regression is primarily used for binary classification problems, providing probabilities of class membership based on input features. It's simple, interpretable, and works well with linearly separable data. Decision Trees are versatile, capable of handling both classification and regression tasks. They recursively split the data based on features to create decision rules. They're prone...
Logistic vs Linear Regression : Specifically in the context of forestry, focusing on tree volume
มุมมอง 127หลายเดือนก่อน
Linear Regression: Used for predicting a continuous outcome (tree volume) based on features like diameter, height, and age. This helps in estimating the precise volume of trees, which is essential for timber production planning. Logistic Regression: Used for classifying trees into categories (e.g., small or large) based on features like diameter, height, and age. This helps in making quick deci...
Analysis of Experimental Designs in R Studio #CRD #RCBD #LSD #FactorialRCBD
มุมมอง 478หลายเดือนก่อน
data link docs.google.com/spreadsheets/d/1sKhu7y4or3iDspycgXKiyFmPp72yNNdS/edit?usp=sharing&ouid=101472566992707079817&rtpof=true&sd=true install.packages(AgroR) library(AgroR) Import data set, from the link above Use the below functions functions for Completely Randomized Design with(eod, DIC(treatment, yield, mcomp = "lsd", fill='trat', ylab = "Yield kg/ha")) functions for Randomized Complete...
One way ANOVA #ggstatsplot
มุมมอง 108หลายเดือนก่อน
cow=read.table("clipboard",header=T) names(cow) Fodder Milk.Yield A 8 A 10 A 12 A 8 A 7 B 12 B 11 B 9 B 14 B 4 C 18 C 12 C 16 C 6 C 8 D 13 D 9 D 12 D 16 D 15 library(ggstatsplot) library(car) leveneTest(Milk.Yield ~ Fodder,cow) ggbetweenstats( data= cow, x = Fodder, y= "Milk.Yield", type = "parametric", var.equal = TRUE, title= "Milk Yield in kg" )
Two sample t test in R studio #ggstatsplot
มุมมอง 91หลายเดือนก่อน
# apricot is the name of data set Variety Yield VarietyX 2.00 VarietyX 2.50 VarietyX 1.90 VarietyX 2.40 VarietyX 2.80 VarietyX 2.30 VarietyX 1.80 VarietyX 2.00 VarietyX 2.10 VarietyX 2.40 VarietyX 2.70 VarietyY 2.60 VarietyY 2.70 VarietyY 2.50 VarietyY 3.00 VarietyY 3.10 VarietyY 2.30 VarietyY 2.50 VarietyY 3.20 VarietyY 2.50 VarietyY 2.80 apricot=read.table("clipboard",header=T) library(car) l...
One sample t test in R studio #ggstatsplot
มุมมอง 103หลายเดือนก่อน
# library required library(ggstatsplot) # import dataset from Ms excel veg=read.table("clipboard",header=T) # name of data set veg # Yield 14.3 12.6 13.7 10.9 13.7 12 11.4 12 13.1 12.6 13.4 13.1 #creates a h istogram with statistical details for one sample t test gghistostats(veg,x=Yield,test.value = 14.5)
Hull & ggbox plots in R Studio #ggforce #ggpubr #ggplot2
มุมมอง 122หลายเดือนก่อน
library(ggplot2) library(ggpubr) library(ggforce) name of data Soil Locations Nitrogen Phosphorus Potassium Shalimar 180.00 9.00 110.45 Shalimar 210.45 13.45 150.20 Shalimar 250.23 11.75 158.20 Shalimar 240.64 14.23 160.35 Shalimar 190.46 12.65 112.46 Shalimar 220.50 8.60 125.64 Shalimar 248.20 10.35 129.67 Shalimar 225.00 13.32 136.47 Shalimar 185.25 13.52 145.95 Shalimar 196.75 9.70 140.55 Sh...
Data Visualization in R Studio #ggpairs #ggcorrmat #ggbetweenstats
มุมมอง 1332 หลายเดือนก่อน
library(ggplot2) library(GGally) library(ggstatsplot) data("iris") ggpairs(iris, aes(color = Species)) ggcorrmat(iris[,-5]) set.seed(1) ggbetweenstats( data= iris, x = Species, y= Sepal.Length, type = "parametric", var.equal = TRUE )
Dot and whisker plot for regression analysis : R studio
มุมมอง 1612 หลายเดือนก่อน
Dot-and-whisker plots for regression analysis #Description a plot displaying the point estimates of regression coefficients as dots, with whiskers representing confidence intervals, alongside other pertinent statistical information. libraries required library(ggstatsplot) library(ggcorrplot) #import data mlr View(mlr) names(mlr) #Visualization of a correlation matrix ggcorrmat(mlr) # for reprod...
Fitting of Linear Equation Through Excel Solver Add in
มุมมอง 773 หลายเดือนก่อน
Adding the Solver Add-In to Microsoft Excel allows you to perform optimization tasks, such as finding the maximum or minimum value of a cell by changing other cells. Here's how to add the Solver Add-In: Open Excel: Launch Microsoft Excel on your computer. Go to the "File" tab: Click on the "File" tab in the top-left corner of the Excel window. Select "Options": In the File menu, select "Options...
Much needed info.
Thanks
Thank you so much, very clear and informative
Please share your mail id having some query
Great tutors
Thank you so much. Highly useful to me. How can I export the results in txt file format?
Thanks for the video... Can you share the dataset used in this video
th-cam.com/video/qBLToYtwADw/w-d-xo.htmlsi=b8NnzrjPWNJeFq8f U can use this data
@@Iqbalstatthanks for this .... But am interested in the dataset with the multiple variables. I mean the RCBD dataset
Very nice video sir
Thanku sir .
Interesting..
Informative
Thank you so much
You're most welcome
Your videos are excellent to learn R studio programing very easily, Thank you so much. You did a great job for us.
You are most welcome
Glad you like them!
Very Informative sir. Thanks a lot
Plz do for pooled data
Thank you sir ❤
Note ti bnaythaa
❤❤
🫰👍
Absolutely right sir👍
Thank you!
❤
❤
Thanks for making complex concepts so easy to grasp!
Informative
thank you for the nice presentaion, please how to save results of anova tables.
❤
Never in my life had understood statistics so vividly, please keep uploading the videos sir
Thank you, I will
Very well explained 🙌.
Thank you Sir 🙏
Beautifully explained....as usual❤
Thanks a lot 😊
The most awaited series
Great video sir
Thanks
Could you please make video from factorial in RCD
Already available
Very useful sir
How to carry out 3 factor factorial split plot design with 2 factor in main plot and 1 factor in sub plot
Will upload a video on that
🫶
Best❤️
Fantastic way of teaching complex concepts in Statistics...
Thanks a lot
Nice video
Very useful video for beginners.
You are doing greet sir
Very impressive.....God bless u🌷💐
Thanks
Brilliant❤
Thanks
👌
Impressive
Thanks
Very useful
Please make a video on bibliometric analysis using R software
Sure
Thank you sirji
Stat getting interesting now😍
😊
💙
👍🏻👍🏻
Nice one