Let’s upload one 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() This is…
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. 목차1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법2. 어바나-샴페인에서 집 구하기 가이드3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!!4. 일리노이주 운전면허 신청 방법5. UIUC 학생증/교직원 카드 신청하기6. 은행계좌 개설하기7. 의료보험 가입하기8. 대중교통 (버스) 이용하기9. 학교 식당 (Dining hall) 10. 한식재료 구매하기###S1. 세금 환급 (Tax Refund) 받기 (feat. 세금환급 대행 회사 추천)S2. 어바나-샴페인…
“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. 목차1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법2. 어바나-샴페인에서 집 구하기 가이드3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!!4. 일리노이주 운전면허 신청 방법5. UIUC 학생증/교직원 카드 신청하기6. 은행계좌 개설하기7. 의료보험 가입하기8. 대중교통 (버스) 이용하기9. 학교 식당 (Dining hall) 10. 한식재료 구매하기###S1. 세금 환급 (Tax Refund) 받기 (feat. 세금환급 대행 회사 추천)S2. 어바나-샴페인…
“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. 목차1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법2. 어바나-샴페인에서 집 구하기 가이드3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!!4. 일리노이주 운전면허 신청 방법5. UIUC 학생증/교직원 카드 신청하기6. 은행계좌 개설하기7. 의료보험 가입하기8. 대중교통 (버스) 이용하기9. 학교 식당 (Dining hall) 10. 한식재료 구매하기###S1. 세금 환급 (Tax Refund) 받기 (feat. 세금환급 대행 회사 추천)S2. 어바나-샴페인…
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 Full: https://github.com/agronomy4future/r_code/blob/main/Step_by_Step_Guide_to_Calculating_and_Adding_Variable_Means_in_R.ipynb We aim to develop open-source code for agronomy ([email protected]) © 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. 목차1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법2. 어바나-샴페인에서 집 구하기 가이드3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!!4. 일리노이주 운전면허 신청 방법5. UIUC 학생증/교직원 카드 신청하기6. 은행계좌 개설하기7. 의료보험 가입하기8. 대중교통 (버스) 이용하기9. 학교 식당 (Dining hall) 10. 한식재료 구매하기###S1. 세금 환급 (Tax Refund) 받기 (feat. 세금환급 대행 회사 추천)S2. 어바나-샴페인…
“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. 목차1. 한국에서 어바나-샴페인 (Urbana-Champaign) 가는 방법2. 어바나-샴페인에서 집 구하기 가이드3. 일리노이 주 운전면허 필기시험 기출문제 한국어 번역: 이것만 보고 가시면 무조건 필기 합격!!4. 일리노이주 운전면허 신청 방법5. UIUC 학생증/교직원 카드 신청하기6. 은행계좌 개설하기7. 의료보험 가입하기8. 대중교통 (버스) 이용하기9. 학교 식당 (Dining hall) 10. 한식재료 구매하기###S1. 세금 환급 (Tax Refund) 받기 (feat. 세금환급 대행 회사 추천)S2. 어바나-샴페인…
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….
In my previous post, I introduced how to summarize data using dplyr(). Let’s upload a dataset and summarize the data by calculating the mean, standard deviation, and standard error. Here’s an alternative method to summarize the data. We aim to develop open-source code for agronomy ([email protected]) © 2022 – 2025 https://agronomy4future.com – All Rights Reserved. Last Updated: 11/12/2023
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…
Before diving into in-depth data analysis, a crucial step is data preprocessing. This essential process not only ensures better data quality but also significantly improves the efficiency of your analysis. In this guide, I will introduce a range of powerful Python methods for data preprocessing, equipping you with the tools to optimize your data for more accurate and insightful analysis. I use Goolge Colab when using Python because it’s more user friendly. Please refer how to setup Google Colab in…
In hemp cultivation, “topping” refers to the process of selectively cutting off the upper portion of the plant during its vegetative (growth) phase. This practice holds a central and essential role in plant training, as it encourages horizontal growth and optimizes light utilization, resulting in increased yields. When a plant is topped, the two auxiliary buds located just below the cut site develop into full-fledged branches, often taking on a Y-shaped structure. These secondary branches can also be subjected to…
□ The Best Linear Unbiased Estimator (BLUE): Step-by-Step Guide using R (with AllInOne Package) In my previous post, I explained how to estimate dependent values from fitting models. Now I’ll explain how to add this predicted value to the original data using R. First, let’s upload data to R. Now, I’ll predict yield using the model. I believe that ‘row’ represents a random factor for each treatment, so I’d like to adjust the residuals using BLUP (Best Linear Unbiased Predictor),…
In my previous post, I explained how to quantify phenotypic plasticity and introduced the concept of ‘responsiveness.’ □ Quantifying Phenotypic Plasticity of Crops I introduced a formula to calculate responsiveness as (Treatment – Control) / Control. Genotype Control Treatment Responsiveness A 100 90 -10.0% B 120 70 -41.7% C 115 90 -21.7% D 95 85 -10.5% E 110 105 -4.5% However, when analyzing data, the format may not always be the same as above. Mostly, treatments (independent variable) are arranged in…
When you use SQL, it’s about managing your data in the database. However, you might also expect that you can access your database from wherever you are. If you use SQL programs, you would primarily achieve the former, but it’s less relevant to the latter. SQL is a powerful language for managing data in a database; however, it is not specifically designed for remote access. What we want is both a database and a cloud platform so that I can…
Let’s practice Azure SQL codes. The data you can practice can be downloaded below. https://github.com/agronomy4future/raw_data_practice/blob/main/micronutrients.csv If you download the data, first you can upload data to Azure SQL server. The method to upload data to Azure SQL server is explained in the below post. 1) Create database First, let’s create Database to upload external data in Azure Data Studio. and upload the data in the link I provided. The method to upload external data is explained in the below post….
In the early stages of growth, hemp plants tend to exhibit a pattern of stacked leaves, both horizontally and vertically. This growth pattern is characterized by leaves arranged in pairs at regular intervals along the stem, and as the plant grows, these pairs of leaves may be found at different vertical levels on the stem. This phenomenon is a typical part of the plant’s vegetative growth phase, where it is actively developing its leaves and stems. As the plant matures,…
I have created a data table. If you copy and paste the code below into your MySQL window, you can obtain the same data table. □ Select all data column □ Select specific data column □ Select specific data column within specific variable