Modify: The last time at which file was modified.Access: The last time at which the file was accessed.Context: The field stores SELinux security context.Access: Access permissions in the numeric and symbolic methods.Links: Number of hard links of the file.Device: Device number in hexadecimal format.File type: The file may be of the following types: Regular files, special files, directories, or symbolic links.IO Block: The size of every allocated block in bytes.Blocks: Total number of allocated blocks to the file to store on the hard disk.Size: The size of a given file in Bytes.If the provided file is a symlink, then the name will be different. Now let’s see one example stat /etc/nfįollowing is the information we get about the file when we run the stat command. Stat can accept one or more filenames as an input to the stat command. The basic syntax of using stat command is as follows: stat -options filenames Now let’ see one by one how can we use the stat command. Array Basics in Shell Scripting | Set 1.How to Hack WPA/WPA2 WiFi Using Kali Linux?.Mutex lock for Linux Thread Synchronization.SORT command in Linux/Unix with examples.AWK command in Unix/Linux with examples.Sed Command in Linux/Unix with examples.ISRO CS Syllabus for Scientist/Engineer Exam.ISRO CS Original Papers and Official Keys.GATE CS Original Papers and Official Keys.Heteroscedasticity test – Broish-Pagan (BPG), Harvey, Glaser, Engle’s ARCH, White tests.Stepwise regression (forward and inverse).Logistic regression (logit regression).Multivariate linear regression (residual analysis, collinearity diagnostics, calculation of confidence zone and model prediction zone).Comparison of dependent samples – Wilcoxon matched pairs test, sign method, calculation of concordance coefficient.Comparison of independent samples – tests of Man-Whitney, Kolmogorov-Smirnov, Wald-Wolfowitz, Rosenbaum test, Kruskal-Wallis analysis of variance, median test.Rank correlations (Tau Kendall, R Spearman, Gamma).Analysis of 2×2 contingency tables (Chi-square, Yates Chi-square, Fisher-Irwin test, Phi-square, etc.).Hierarchical clustering and k-means method.Multivariate analysis and data classification Analysis of intra-subject and inter-subject effects, mixed models.Post-hoc tests are available – Bonferroni, Tukey-Kramer, Tukey-B, Tukey HSD (True Significance Test), Neumann Keuls, Dunnett. Two-way and three-way analysis of variance.Choice of algorithm for calculating percentiles by Hindman and Fan – with the ability to simulate SAS, JMP, Minitab, SPSS, Excel. Normality check (including D’Agostino tests).
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