Programmer Think

1. General 1.1 basic concepts survival time: generally refers to the time from the start event to the end event, such as the time from onset to death of a patient suffering from a disease.Failure event and start event: failure event generally refers to death event or end event. Initial events are events that reflect the initial characte ...

Catalogue of series articles Experiment 1 R language data structure, data import and data processing Experiment 2 basic data processing Experiment 3 data visualization Experiment 4 data analysis Experiment 5 comprehensive application experimental data 1. systation dataset systation.csv contains the longitude and latitude data ...

Write in front: when using Seurat, I feel it is still necessary to know how to realize each step. So I selected some functions according to the default parameter settings, extracted the main part of the calculation from the source code, omitted many details, basically realized the calculation function, and obtained the results consistent with t ...

catalogue 1, Obtain vehicle fuel efficiency data 1. Download dataset 2. Save the field information of the dataset 2, Import vehicle fuel efficiency data into R 3, Explore and describe fuel efficiency data 4, Analyze the change of vehicle fuel efficiency data with time 5, Study the brand and model of cars 1, Obtain vehicle fuel efficien ...

5, Hypothesis test of parameters Firstly, make some assumptions about an unknown parameter of the population or the distribution form of the population, then provide information from the extracted samples, construct appropriate statistics, test the provided assumptions, and make statistical judgment whether to accept or reject the assumpti ...

7, Analysis of variance The main work of ANOVA is to decompose the total variation of observation data into factor effect and test error according to different variation causes, make quantitative analysis, and compare the importance of various causes in the total variation, so as to serve as the basis for further statistical inference. Pre ...

I introduce Anomaly detection (Anomaly detection) is one of the most mature applications of time series data analysis. It is defined as the process of identifying abnormal events or behaviors from normal time series. Effective anomaly detection is widely used in many real-world areas, such as quantitative transactions, network security testing ...

To analyze whether there are excess deaths in the cohort, the standard population mortality is usually used to correct. The actual number of deaths (d) in the immediate observation and a standard number of deaths (E). The ratio of D to e is called the standardized mortality ratio (SMR). The standardized mortality rate (SMR) is the ratio of obse ...

Analytic hierarchy process (AHP) is a decision-making method that decomposes the elements related to decision-making into levels such as objectives, quasi indicators and schemes, and carries out qualitative and quantitative analysis on the basis of sub levels. This paper describes the implementation process of R through an example. summary ...

subject 40 students need to be assigned to 10 dormitories. We got these 40 students through the questionnaire As shown in the figure below, the complete data is in excel: How to divide dormitories can ensure that the number of common hobbies of students in different dormitories and the same dormitories are distributed as evenly as poss ...