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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 18 Feb 2021 17:07:47 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2021/Feb/18/t16136644998zp42u36ptr98es.htm/, Retrieved Tue, 18 Jan 2022 13:48:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319373, Retrieved Tue, 18 Jan 2022 13:48:54 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact30
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2021-02-18 16:07:47] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.14%
0.39%
0.60%
1.83%
0.97%
0.70%
0.72%
0.89%
0.41%
0.68%
1.29%
1.07%
1.24%
1.08%
0.89%
0.83%
0.72%
0.40%
0.62%
0.55%
0.87%
0.86%
1.07%
1.03%
0.96%
1.01%
1.69%
1.50%
2.03%
0.73%
0.55%
0.52%
0.60%
0.68%
0.36%
0.42%
0.30%
0.41%
0.23%
0.23%
0.44%
0.83%
1.20%
0.34%
0.51%
0.43%
0.44%
0.50%
0.89%
0.46%
0.48%
0.63%
0.58%
0.41%
0.63%
0.57%
0.41%
0.38%
0.34%
0.78%
0.80%
0.43%
0.39%
0.85%
0.52%
0.45%
0.65%
0.40%
0.80%
0.55%
0.41%
1.00%
0.33%
0.39%
0.48%
0.86%
0.76%
0.67%
0.93%
0.85%
0.45%
0.62%
0.62%
0.36%
0.88%
0.87%
0.37%
0.87%
0.35%
0.51%
0.46%
0.48%
1.11%
1.13%
0.82%
0.70%
0.37%
0.78%
0.53%
0.45%
0.53%
0.70%
0.49%
0.73%
0.60%
0.75%
0.41%
0.77%
0.40%
0.74%
0.49%
0.62%
0.72%
0.56%
0.98%
0.48%
0.73%
0.73%
1.40%
1.03%
2.11%
1.06%
0.45%
0.62%
0.96%
0.35%
0.43%
0.54%
0.90%
0.38%
0.69%
0.86%
0.35%
0.48%
0.52%
0.40%
0.42%
0.61%
0.46%
0.48%
0.35%
0.44%
0.34%
0.58%
1.13%
0.80%
0.94%
0.61%
0.40%
0.36%
0.57%
0.72%
0.87%
0.75%
0.49%
0.61%
0.57%
1.01%
0.80%
0.65%
1.07%
0.48%
1.03%
1.41%
0.41%
0.40%
0.19%
0.25%
0.27%
0.56%
0.34%
0.77%
0.61%
0.34%
0.37%
0.33%
0.29%
0.55%
0.37%
0.80%
0.99%
1.73%
0.22%
0.46%
0.51%
0.51%
0.45%
0.58%
0.52%
0.24%
0.46%
0.66%
0.28%
0.92%
0.26%
0.20%
0.27%
0.22%
0.28%
0.29%
0.41%
0.40%
0.22%
0.34%
0.25%
0.35%
0.46%
0.31%
0.63%
0.34%
0.58%
0.28%
0.33%
0.34%
0.28%
0.28%
0.25%
0.26%
0.58%
0.86%
0.41%
0.58%
0.31%
0.56%
0.36%
0.98%
0.30%
0.37%
0.41%
0.43%
0.23%
0.69%
0.31%
0.41%
0.49%
0.42%
0.64%
0.63%
0.43%
1.26%
0.47%
0.43%
0.33%
0.21%
0.52%
0.24%
0.19%
0.44%
0.32%
0.29%
0.59%
0.29%
0.48%
0.41%
0.47%
0.42%
0.30%
0.41%
0.48%
0.40%
0.48%
0.48%
0.33%
0.50%
0.87%
0.49%
0.77%
0.98%
0.89%
0.44%
0.25%
0.58%
0.62%
0.51%
0.88%
0.37%
0.61%
0.44%
0.35%
0.63%
0.46%
0.40%
0.33%
0.79%
0.65%
0.53%
0.70%
0.38%
0.41%
0.78%
0.64%
0.62%
0.29%
0.80%
0.49%
0.50%
0.27%
0.63%
0.52%
0.63%
0.48%
0.43%
0.44%
0.47%
0.56%
0.44%
0.52%
0.32%
0.67%
0.71%
0.62%
1.45%
1.10%
0.64%
0.48%
0.42%
0.53%
0.41%
0.54%
0.83%
0.52%
0.76%
0.58%
0.55%
0.35%
0.31%
0.53%
0.35%
0.56%
0.61%
0.74%
0.62%
0.54%
0.55%
0.69%
0.50%
0.26%
0.62%
0.51%
0.48%
0.54%
0.52%
1.21%
0.74%
0.80%
0.76%
0.71%
0.43%
0.35%
0.76%
1.32%
0.41%
0.70%
0.59%
0.33%
0.47%
0.84%
1.19%
1.09%
0.53%
0.62%
1.16%
0.87%
0.78%
0.44%
0.32%
1.15%
0.68%
0.38%
0.90%
0.47%
1.32%
0.62%
1.46%
1.16%
1.00%
1.78%
3.04%
0.83%
0.58%
0.43%
0.66%
0.55%
0.66%
1.19%
0.40%
0.56%
0.34%
0.77%
0.82%
0.67%
0.73%
0.53%
0.92%
0.65%
0.66%
0.63%
0.43%
0.48%
0.46%
0.57%
0.34%
1.21%
0.54%
0.39%
0.55%
0.50%
0.90%
0.75%
1.09%
0.70%
1.09%
0.98%
0.46%
0.52%
0.72%
0.65%
0.58%
0.72%
0.42%
0.78%
0.45%
0.78%
0.46%
0.75%
0.54%
0.85%
1.25%
1.14%
0.56%
0.56%
0.44%
0.40%
0.55%
1.16%
0.40%
0.66%
0.31%
0.24%
0.95%
0.98%
0.52%
0.33%
0.52%
0.39%
0.38%
0.54%
0.60%
0.32%
1.00%
0.68%
0.56%
0.74%
0.31%
0.70%
0.86%
0.70%
1.10%
0.58%
1.28%
0.45%
1.24%
0.59%
0.59%
0.70%
0.38%
0.37%
0.75%
0.53%
2.44%
0.55%
0.53%
1.16%
0.69%
1.04%
0.60%
0.80%
0.42%
0.64%
1.21%
0.53%
0.64%
0.74%
0.73%
1.02%
0.42%
0.68%
0.74%
0.41%
1.12%
0.46%
0.78%
0.39%
0.48%
0.62%
0.58%
0.94%
1.48%
0.37%
1.12%
1.10%
1.09%
0.80%
0.64%
0.54%
0.94%
0.65%
0.94%
0.45%
0.41%
0.48%
0.72%
0.41%
0.71%
0.39%
0.47%
0.62%
0.62%
0.64%
1.08%
0.90%
1.09%
1.05%
0.93%
0.90%
0.73%
0.70%
0.90%
0.87%
0.83%
0.78%
0.78%
0.51%
0.55%
0.62%
0.28%
0.46%
1.20%
0.86%
1.23%
0.58%
0.44%
0.31%
0.59%
1.09%
0.50%
0.69%
0.85%
0.43%
0.65%
0.43%
0.35%
0.77%
0.52%
0.71%
0.68%
0.61%
0.83%
0.57%
1.24%
0.68%
0.82%
1.30%
0.35%
0.92%
0.91%
0.85%
0.87%
0.50%
0.37%
0.55%
0.99%
0.52%
0.66%
1.12%
0.42%
0.67%
0.57%
0.85%
0.58%
0.75%
0.65%
2.41%
1.39%
1.18%
0.51%
0.85%
0.82%
0.31%
0.71%
0.68%
0.77%
1.04%
0.52%
1.26%
0.40%
0.53%
0.58%
1.38%
0.76%
0.95%
0.47%
0.57%
1.33%
0.99%
1.35%
0.86%
0.65%
0.58%
0.67%
1.41%
0.84%
1.79%
1.04%
4.21%
1.42%
1.73%
1.10%
0.96%
0.46%
0.96%
1.25%
0.57%
0.67%
0.36%
0.75%
1.09%
0.73%
0.69%
1.05%
1.28%
0.51%
0.84%
0.73%
0.67%
0.84%
0.72%
1.06%
0.49%
0.88%
0.60%
0.74%
1.20%
0.61%
0.97%
0.91%
1.48%
0.41%
0.38%
0.30%
0.29%
0.56%
0.68%
0.77%
0.96%
0.42%
1.25%
0.68%
1.54%
0.49%
1.06%
1.04%
0.93%
1.21%
1.04%
1.11%
1.46%
0.57%
1.05%
0.95%
1.13%
1.09%
0.81%
0.59%
1.06%
1.06%
0.94%
0.69%
0.83%
0.78%
1.68%
1.23%
3.15%
1.05%
2.23%
0.45%
0.76%
0.77%
0.92%
0.75%
0.76%
0.57%
0.85%
0.86%
0.83%
0.56%
0.99%
0.63%
0.81%
0.62%
0.97%
1.06%
0.98%
0.58%
1.53%
1.40%
0.68%
0.81%
0.98%
0.40%
0.50%
0.62%
0.76%
1.15%
1.85%
0.93%
1.34%
0.81%
0.73%
0.80%
1.00%
0.75%
0.68%
1.21%
1.42%
0.94%
1.57%
1.21%
0.73%
1.24%
1.05%
1.05%
2.12%
0.94%
1.34%
1.27%
1.41%
1.13%
0.77%
1.78%
2.61%
1.04%
2.94%
0.98%
1.15%
1.81%
1.15%
3.26%
1.66%
1.91%
2.13%
2.32%
2.36%
0.81%
1.95%
1.47%
0.74%
0.61%
0.80%
1.96%
0.84%
1.33%
1.25%
1.37%
1.70%
1.52%
1.23%
1.01%
1.52%
1.17%
0.42%
0.62%
0.50%
0.87%
1.23%
1.08%
0.45%
0.98%
1.60%
0.76%
0.66%
0.52%
0.89%
0.57%
0.68%
0.48%
0.49%
0.33%
0.33%
0.57%
0.35%
1.14%
0.77%
1.17%
0.36%
0.33%
0.38%
0.34%
0.61%
1.18%
0.45%
0.64%
0.47%
0.37%
0.61%
0.87%
1.53%
0.74%
0.39%
0.79%
0.43%
1.00%
0.50%
0.74%
0.82%
0.35%
1.19%
0.48%
0.48%
0.52%
0.66%
0.65%
0.55%
0.39%
0.99%
0.48%
0.44%
0.88%
0.90%
0.45%
1.02%
0.77%
0.42%
0.46%
0.67%
0.45%
1.41%
0.84%
0.62%
0.32%
0.78%
0.64%
0.36%
1.14%
0.35%
0.75%
0.85%
0.50%
0.45%
0.93%
0.62%
0.62%
0.85%
1.42%
0.97%
0.76%
0.89%
1.50%
0.50%
0.87%
0.34%
1.10%
2.03%
1.09%
0.56%
0.73%
0.65%
1.05%
1.50%
0.89%
0.57%
0.85%
0.58%
0.97%
0.36%
0.49%
0.34%
0.73%
1.21%
0.45%
1.04%
0.50%
0.68%
0.87%
0.83%
0.42%
0.73%
0.78%
1.38%
0.69%
0.99%
0.93%
0.50%
0.46%
0.99%
0.52%
0.60%
1.97%




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319373&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319373&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319373&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
if (par4 == '11-point Likert') par1 <- c(1:11 - 0.5, 11.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}