我正在努力计算R中数据帧中两组之间的t-test。下面的示例代码产生了一个有两列的数据帧:变量和值。有两个变量:"M“和"F”。
data <- data.frame(variable = c("M", "F", "F"), value = c(10,5,6))
我需要证明M和F的值在统计上是不同的。换句话说,10在统计上与5和6的平均值不同。我需要在此数据框中添加另一列来显示p值。当我运行下面的代码时,它给出了以下错误:
result <- data %>% mutate(newcolumn = t.test(
系统:centos7.6 内核:3.10.0-1160.11.1.el7.x86_64 编译器:g++ 4.8.5
问题:/var/log/meassage里面提示segfault at 7fa6227fdf40 ip 00007fa62c0ba671 sp 00007fa6227fdf40 error 6 in libc-2.17.so[7fa62c060000+1c4000]。我调用corefile调试,显示信息如下
0x00007fa62c0ba671 in __GI__IO_vfscanf () from /lib64/libc.so.6
0x00007fa62c0d14
我有一个数据帧,我试图在每一行上应用T-test,但它给了我nan。
代码:
from scipy.stats import ttest_ind, ttest_rel
import pandas as pd
df_stat = df_stat[['day', 'hour', 'CallerObjectId', 'signals_normalized', 'presence_normalized']]
def ttest(a, b):
t = ttest_ind(a, b)
return t
d
我是R的新手,所以在开发初期有一些问题。我已经创建了一个count表,其中显示了不同类别的两个组(成员和非成员)的计数:
countbenefits <- table(perceptions$VOI.member, perceptions$Advantages)
countbenefits
Community/\nteamwork Don't know Environment Future Generations None Other Personal benefits Village benefits
Member 6
从Omnet中可以很好地工作,但是当试图从终端运行时,我会得到以下错误:
<!> Error in module (omnetpp::cModule) RSUExampleScenario (id=1) during
network setup: Class "Veins::ObstacleControl" not found -- perhaps its code
was not linked in, or the class wasn't registered with Register_Class(), or in
the case of mod
下面的代码是否正确地执行Breusch-Pagan测试,如果不正确,错误是什么?
proc reg data = mydataset;
TITLE 1 "The following is the Breusch-Pagan test for Constant Variance";
model Y = X1;
output out = newdataset r = resid;
run;
data BP;
set newdataset;
e2 = log10(resid*resid);
run;
proc reg data = BP;
model e2 = X1; * T