p-value

anova() does not display p-value when used with lmerTest

由 删除回忆录丶 提交于 2019-12-11 04:30:33
问题 I'm trying to use lmerTest to have p-values for my fixed effects. I have 4 different random intercepts, 3 crossed and one nested : test.reml <- lmerTest::lmer(y ~ s1 + min + cot + min:cot + ge + vis + dur + mo + nps + dist + st1 + st2 + di1 + s1:cot + s1:min + s1:cot:min + s1:ge + s1:vis + s1:dur + s1:mo + s1:nps + s1:dist + s1:st1 + s1:st2 + s1:di1 + (1|Unique_key) + (s1-1|object) + (ns1-1|object) + (1|region), bdr, REML=1) The objects are observed two times and the correlation between the

output p value from a t-test in R

由 岁酱吖の 提交于 2019-12-11 02:35:40
问题 So lets work through the example from ?t.test() We do a two-sample t-test on the data by: t.test(1:10, y = c(7:20)) Now I am only interested in saving the p-value When I input the followng code, the $p.value is also saved. t.test(1:10, y = c(7:20))[3] I want only the p-value saved (with the $p.value ) as an numeric/integer/double. Sorry for asking such a simple question 回答1: You can save the p-value from the t-test to another variable with something like: pVal <- t.test(1:10, y = c(7:20))$p

How to include p-values<0.05 in q-graphs?

由 ♀尐吖头ヾ 提交于 2019-12-08 13:15:03
问题 I am following up an old question without answer (https://stackoverflow.com/questions/31653029/r-thresholding-networks-with-inputted-p-values-in-q-graph). I'm trying to assess relations between my variables.For this, I've used a correlation network map. Once I did so, I would like to implement a significance threshold component. For instance, I want to only show results with p-values <0.05. Any idea about how could I implement my code? Data set: https://www.dropbox.com/s/xntc3i4eqmlcnsj/d100

Computing p.values in spatial econometric models: why are there inconsistencies between summary() and texreg()?

由 痴心易碎 提交于 2019-12-07 09:25:25
问题 I am estimating some spatial econometric models that contain both a spatial autoregressive term rho and a spatial error term lambda. In attempting to communicate my results I was using the texreg package, which accepts the sacsarlm models I am working with. I noticed, however, that texreg is printing p-values for the rho and lambda parameters that are identical. Texreg appears to be returning the p-value found in the model@LR1$p.value slot of the model object. The parameters rho and lambda

How to efficiently get the correlation matrix (with p-values) of a data frame with NaN values?

由 空扰寡人 提交于 2019-12-04 23:57:04
问题 I am trying to compute a matrix of correlation, and filter the correlations based on the p-values to find out the highly correlated pairs. To explain what I mean, say I have a data frame like this. df A B C D 0 2 NaN 2 -2 1 NaN 1 1 1.1 2 1 NaN NaN 3.2 3 -4 NaN 2 2 4 NaN 1 2.1 NaN 5 NaN 3 1 1 6 3 NaN 0 NaN For the correlation coefficient. I used pd.corr(). This method can process data frame with NaN values, and more importantly, it tolerates pair of columns having 0 overlap (col A and col B):

Extract pvalue from glm

由 梦想与她 提交于 2019-12-03 08:14:18
问题 I'm running many regressions and am only interested in the effect on the coefficient and p-value of one particular variable. So, in my script, I'd like to be able to just extract the p-value from the glm summary (getting the coefficient itself is easy). The only way I know of to view the p-value is using summary(myReg). Is there some other way? e.g.: fit <- glm(y ~ x1 + x2, myData) x1Coeff <- fit$coefficients[2] # only returns coefficient, of course x1pValue <- ??? I've tried treating fit

P-value from Chi sq test statistic in Python

由 匿名 (未验证) 提交于 2019-12-03 02:45:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have computed a test statistic that is distributed as a chi square with 1 degree of freedom, and want to find out what P-value this corresponds to using python. I'm a python and maths/stats newbie so I think what I want here is the probability denisty function for the chi2 distribution from SciPy. However, when I use this like so: from scipy import stats stats.chi2.pdf(3.84 , 1) 0.029846 However some googling and talking to some colleagues who know maths but not python have said it should be 0.05. Any ideas? Cheers, Davy 回答1: Quick

Add p-value and R2 ggplot [follow-up]

由 匿名 (未验证) 提交于 2019-12-03 01:27:01
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: It is a follow-up question . When I run the code given below, I get warning message that I think is due to no facets requirement in my code while the source code mentioned in link included facets. Have a look and please let me know which part needs to be amended. Looking forward! Code: library(dplyr) library(ggplot2) library(ggpmisc) df <- diamonds %>% dplyr::filter(cut%in%c("Fair","Ideal")) %>% dplyr::filter(clarity%in%c("I1" , "SI2" , "SI1" , "VS2" , "VS1", "VVS2")) %>% dplyr::mutate(new_price = ifelse(cut == "Fair", price* 0.5, price * 1

Ho|H1|p-value|p值与U值|单侧检验

由 匿名 (未验证) 提交于 2019-12-03 00:11:01
生物统计学 统计推断的过程： Ho XXXX H1 XXXX p:XXXX H0 H0 H1 α，计算得到 p p p HO H1 最后结果：最后的结论有可能是错的，因为存在假阳性结果，所以必须带有置信度来表明可信程度，可信程度是必要前提。 H0 H1 H0 p U eg H0 璁や负 x1=x2 H1 璁や负 x1 x2 y=x1-x2 H0 璁や负 y=0 H1 璁や负 y 0 y or y 0 H0 H0 H1 y 0 H0 p U p U U eg U a ∞p x ∞P X 来源：博客园 作者： YUANya 链接：https://www.cnblogs.com/yuanjingnan/p/11563599.html

ANLY-511 Homework 7 Problems

由 一个人想着一个人 提交于 2019-12-02 23:18:02
ANLY-511 Homework 7 Problems Submit problems 73,75,78,80,84 89 and 90. Explain your work, give concise reasoning, and . Attach R code with comments if applicable. Using Markdown is the best way to do this. Do not print out any data or any detailed results of simulations. 73. (2 points) The built-in data set ”chickwts” is a data frame with weight gains in grams for 71 chicken who were each given one of six different treatments (feed types). It may be loaded with the R command data(chickwts). Load the dataset and make a single graph with side by side box plots of weight gains for the six feed
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