Today, I’ll introduce how to filter variables after uploading data to SAS Studio. First, let’s upload data to SAS Studio. I’ll summarize data based on Treatment_modified. I want to summarize for each unique ID. So, I’ll add numbers from 1 up to the end. and I’ll summarize data again. Then, I’ll download this data to my PC. 1) to upload data to SAS First, let’s upload the data to SAS. I’ll assign this data to the Test table that I…
In 2024, one of my goals is to learn machine learning and publish a crop physiology paper in an academic journal using machine learning. While taking online or offline courses of machine learning, I discovered Kaggle, a popular platform for data science and machine learning competitions, datasets, and tutorials. Kaggle provides excellent datasets for practicing basic machine learning and data analysis. If you visit the Kaggle website: Titanic – Machine Learning from Disaster, you can access and download various datasets….
Kaggle is a popular online platform for data science and machine learning competitions, datasets, and tutorials. You can find high-quality data on Kaggle to practice data analysis. I have uploaded some of my data on Kaggle to share it with others. Recently, I’ve begun learning machine learning, and one of the most fundamental datasets for this purpose is the Titanic dataset. By visiting the website below, you can download the Titanic survivor data and practice machine learning with this foundational…
Data created Cumulative Sum per group © 2022 – 2023 https://agronomy4future.com
In R, I want to draw a line in a graph, and first, I’ll create the data. Next, I’ll create a bar graph. In this graph, I want to draw a horizontal line. The code to draw lines is introduced in the post below. □ Drawing Lines in ggplot() I added a horizontal line to represent the mean yield of all cultivars. Next, I would like to draw a horizontal line starting from Cultivar B. How can this be achieved?…
Visual Studio Code is a free and open-source code editor developed by Microsoft. It is a versatile editor that supports a wide range of programming languages, including, but not limited to, R, Python, SQL, JavaScript, TypeScript, Java, C#, and many others. The software provides a unified and user-friendly interface for developers working with different languages, making it a popular choice across various programming communities. Now, I’m working on my SQL code in Visual Studio Code, and recently, I’ve also been…
I have two datasets. Now, I want to combine these two datasets, but the row numbers differ between the two datasets. In dataB, the 3rd replicate for Tr1 and the 2nd replicate for Tr3 were deleted due to environmental errors. In this case, simply combining the two datasets is not feasible. One solution is to merge them row-wise using the rbind() function. This way, the two datasets will be combined by row. However, my goal is to combine the two…
Google Colab is essentially a Jupyter notebook environment, which means that typically only Python code works. However, it is also possible to use R code in Google Colab. If you’re unfamiliar with Google Colab, please read the post below to grasp its general concept. □ How to use Google Colab for Python (power tool to analyze data)? When opening a new Google Colab window, navigate to Runtime in the menu, choose Change runtime type, and a new window will appear,…
Let’s say I uploaded a dataset to R. Now, I want to save this data as code so that I can store it in my web note. This is because it would be difficult to find the original dataset after a long time. Therefore, I want to save it as text code in a list on my web note. 1) using dput() First, we can use dput() function. 2) using datapasta() Second, we can use datapasta() function 3) using constructive()…
I have soybean yield data that I want to upload to Github and access from R. First, let’s upload the data to Github. The data should be in .csv format. Click Add file, choose Upload files, and, after uploading, select the Raw button to view the data in .csv format as text. and you can find the address for this data, starting with https://raw.githubusercontent.com/… Let’s copy this address. Next, I’ll bring this data into R from Github. Before that, let’s…
I have a dataset as below. Now, I want to create a bar graph about this data. First, let’s summarize the data. Then, let’s create a bar graph. Now, to save space, I’d like to split the x-axis text into two rows using the following code. When you run the same code to create a bar graph, the resulting graph is shown below. Code summary https://github.com/agronomy4future/r_code/blob/main/Customizing_R_Graphs_Splitting_Text_into_Two_Rows.ipynb © 2022 – 2023 https://agronomy4future.com
© 2022 – 2023 https://agronomy4future.com
Manifesto: Transform each day into a canvas with a work of art as a project, shaped by the strokes of life. [1] I strive to make today better than yesterday. [1.1] In 2024, I document my daily life with a single photo that encapsulates each day.[1.2] In 2024, I compile my top 10 news on a weekly, and monthly basis.[1.3] In 2024, I write one column per month on my blog.[1.4] In 2024, I set daily, weekly, and monthly goals…
A Linear Mixed-Effects Model (LMM) is a statistical model that combines both fixed effects and random effects to analyze data with repeated measurements or hierarchical structure. Let’s break down the key components and concepts of a Linear Mixed-Effects Model: 1) Fixed Effects: 2) Random Effects: 3) Linear Mixed-Effects Model Equation: The general equation of a Linear Mixed-Effects Model can be written as: Y= Xβ + Zb + ε 4) Estimation: In summary, Linear Mixed-Effects Models are a powerful statistical tool…
“슬기로운 어바나-샴페인 생활 101” 은 제가 초기 정착 때 경험한 것들을 시간별로 정리해서 새롭게 오시는 분들에게 필요한 정보를 공유하는 것을 목적으로 하는 프로젝트 입니다. 목차 1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법 2. 어바나-샴페인에서 집 구하기 가이드 3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!! 4. 일리노이주 운전면허 신청 방법 5. UIUC 학생증/교직원 카드 신청하기 6. 은행계좌 개설하기 7. 의료보험 가입하기 8. 대중교통 (버스) 이용하기 9. 학교 식당 (Dining hall) 10. 한식재료 구매하기 ### S1….
Here is one dataset. I want to add the mean of each treatment to a new column, and I am using the following code. However, the code is quite lengthy. Let’s simplify it using tapply() How about there are more variables? Now, I want to add the mean of the combination of treatment and environment. I want to calculate the mean of combination between A and North This value is the same as that in the column. © 2022 –…
“슬기로운 어바나-샴페인 생활 101” 은 제가 초기 정착 때 경험한 것들을 시간별로 정리해서 새롭게 오시는 분들에게 필요한 정보를 공유하는 것을 목적으로 하는 프로젝트 입니다. 목차 1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법 2. 어바나-샴페인에서 집 구하기 가이드 3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!! 4. 일리노이주 운전면허 신청 방법 5. UIUC 학생증/교직원 카드 신청하기 6. 은행계좌 개설하기 7. 의료보험 가입하기 8. 대중교통 (버스) 이용하기 9. 학교 식당 (Dining hall) 10. 한식재료 구매하기 ### S1….
“슬기로운 어바나-샴페인 생활 101” 은 제가 초기 정착 때 경험한 것들을 시간별로 정리해서 새롭게 오시는 분들에게 필요한 정보를 공유하는 것을 목적으로 하는 프로젝트 입니다. 목차 1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법 2. 어바나-샴페인에서 집 구하기 가이드 3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!! 4. 일리노이주 운전면허 신청 방법 5. UIUC 학생증/교직원 카드 신청하기 6. 은행계좌 개설하기 7. 의료보험 가입하기 8. 대중교통 (버스) 이용하기 9. 학교 식당 (Dining hall) 10. 한식재료 구매하기 ### S1….
I have one dataset as below. Now, I’ll create a regression graph between grain number (GN) and average grain weight (AGW). I distinguished genotypes with different colors, and now I want to differentiate resistance (yes and no) using distinct shapes. Therefore, I’ll be changing the shape representation from genotype to resistance. However, the color is not currently applied to the legend. I aim to apply the provided color to the legend, and additionally, assign colors to represent different levels of…
□ The Best Linear Unbiased Estimator (BLUE): Step-by-Step Guide using R (with AllInOne Package) In my previous post, I explained how to use R to perform the Best Linear Unbiased Estimator (BLUE). Now, this is a practical exercise focusing on BLUE in R. Here is one dataset. I have data on grain number (GN) and average grain weight (AGW) in winter wheat for about five genotypes and one transgenic line. The study examines the response to disease resistance (yes or…
When analyzing regression, we typically assume that two continuous variables are situated in separate columns, allowing us to easily designate them as x and y. However, in many cases, data is organized vertically, and variables of interest are found within the same column. This vertical structuring is, in fact, the fundamental data arrangement when conducting data analysis. Now, let’s delve further into the discussion by examining the dataset. Let’s proceed by uploading the dataset.” This data pertains to iron content…
When working with Excel, I believe you use the IF function from time to time, especially when categorizing values. The IF function is particularly useful for this purpose. Here is one example. I want to categorize organic matter (%) by unit 1.0. This process involves converting numeric variables to categorical variables. To achieve this, I have used the IF function as shown above. Then, you can categorize organic matter in the F column as shown above. Now, my next question…
In my previous post, I introduced how to summarize data, such as mean, standard deviation, and standard error. However, at that moment, I demonstrated how to summarize only one variable. □ Streamlined Data Summary in R STUDIO: Enhancing Bar Graphs with Error Bars Now, let’s discuss this further with a dataset. I would like to summarize the Yield data, including the mean, standard deviation, and standard error. I’ll use ddply() Now, I also want to summarize variables GN and AGW….
When data is arranged, it can be structured either vertically (row-based) or horizontally (column-based). The choice depends on your preference for organizing data. However, when running statistics, data should be arranged row-based, as variables need to be in the same column. On the other hand, when calculating per variable, it is much easier to organize data column-based, allowing for simpler calculations. Regardless of the approach, well-organized data is essential, and the ability to restructure data is a valuable skill. Today,…
I have data, as shown below, regarding iron contents in soil and the plant uptake of iron at different growth stages in winter wheat. I want to analyze the relationship between the iron content in the soil and the plant uptake of iron at different growth stages in winter wheat. We can simply draw a regression graph. However, before doing that, we need to reshape the data. I’ll transpose the data from rows to columns based on the variables in…
When we want to change texts within a columns, you can have several methods which I already introduced before. □ How to Rename Variables within Columns in R? However, changing all texts and specific texts would be different. Let’s upload a data. Now, we can change the variables name as following code: How about changing the text in the ID column? I want to remove ‘Delta_’ and keep only the numbers. Will you change the text one by one as…
In a folder, I have 5 different .csv files. I want to upload these files to R and combine all of them because the data format (number of columns and structure) is the same. While you can certainly upload them one by one, imagine a scenario where you have 100 datasets. Will you upload all 100 of them individually? No! That would be a waste of time. In such cases, you can use a simple code to upload multiple files…