Web摘要. 为阐明寒地粳稻碾磨品质和食味品质性状间的相互关系,以337份高世代纯合品系材料为对象,对其11个品质指标进行相关、主成分和聚类分析,构建准确可行的稻米品质评价回归方程。. 结果表明,糙米率、精米率和整精米率间呈显著正相关,食味评分与 ... WebMar 31, 2024 · rcorr returns a list with elements r, the matrix of correlations, n the matrix of number of observations used in analyzing each pair of variables, and P, the asymptotic P-values. Pairs with fewer than 2 non-missing values have the r values set to NA. The diagonals of n are the number of non-NAs for the single variable corresponding to that …
R语言相关系数、显著性检验及可视化的尝试 数据小兵博客
WebWe determined the magnitude of instantaneous greenhouse gas (GHG) emissions from drainage ditches in hemiboreal peatlands in Latvia during the frost-free period of 2024 and evaluated the main affecting factors. In total, 10 research sites were established in drained peatlands in Latvia, including active and abandoned peat extraction sites and peatland … WebJan 12, 2024 · R contains an in-built function rcorr() ... In order to run this function in R, we need to download and load the “Hmisc” package into the environment. This can be done in the following way: install.packages(“Hmisc”) library(“Hmisc”) The following code snippet indicates the computation of correlation coefficients in R: R. ravinia reserved lawn
寒地粳稻碾磨品质和食味品质相关性状的综合分析
WebR rcorr -- Hmisc. rcorr Computes a matrix of Pearson's r or Spearman's rho rank correlation coefficients for all possible pairs of columns of a matrix. Missing values are deleted in pairs rather than deleting all rows of x having any missing variables. Ranks are computed using efficient algorithms (see reference 2), using midranks for ties. WebMar 5, 2024 · To find the significant correlation in an R data frame, we would need to find the matrix of p-values for the correlation test. This can be done by using the function rcorr of Hmisc package and read the output as matrix. For example, if we have a data frame called df then the correlation matrix with p-values can be found by using rcorr (as ... WebOct 24, 2014 · rcorr Computes a matrix of Pearson's r or Spearman's rho rank correlation coefficients for all possible pairs of columns of a matrix. Missing values are deleted in pairs rather than deleting all rows of x having any missing variables. Ranks are computed using efficient algorithms, using midranks for ties.-- R Documentation / rcorr {Hmisc} ravinia plymouth mn